Harsh Dayal
Hi, I'm Harsh!
Hi, I'm Harsh!
Software Developer
HTML5/CSS3 Mastery
Product Design
Branding
Collaborative Team Player
Software Developer
HTML5/CSS3 Mastery
Product Design
Branding
Collaborative Team Player
🏆Winner: Google GenAI Exchange
About Me
Greetings! I'm Harsh, an AI/ML enthusiast fueled by caffeine and a healthy dose of chaos. I'm on a mission to build things that not only make the world a slightly less terrible place but also make me exclaim, "Ooh, shiny!". I build stuff, break stuff, and then build better stuff and occasionally write code that actually works.
From crafting Agentic apps that won't try to take over the world (probably) to dabbling in the dark arts of graphic design, I combine technical prowess with a playful spirit. Check out my work it's guaranteed to be at least mildly entertaining, hopefully.
Greetings! I'm Harsh, an AI/ML enthusiast fueled by caffeine and a healthy dose of chaos. I'm on a mission to build things that not only make the world a slightly less terrible place but also make me exclaim, "Ooh, shiny!". I build stuff, break stuff, and then build better stuff and occasionally write code that actually works.
From crafting Agentic apps that won't try to take over the world (probably) to dabbling in the dark arts of graphic design, I combine technical prowess with a playful spirit. Check out my work it's guaranteed to be at least mildly entertaining, hopefully.
Greetings! I'm Harsh, an AI/ML enthusiast fueled by caffeine and a healthy dose of chaos. I'm on a mission to build things that not only make the world a slightly less terrible place but also make me exclaim, "Ooh, shiny!". I build stuff, break stuff, and then build better stuff and occasionally write code that actually works.
From crafting Agentic apps that won't try to take over the world (probably) to dabbling in the dark arts of graphic design, I combine technical prowess with a playful spirit. Check out my work it's guaranteed to be at least mildly entertaining, hopefully.
My journey into the AI/ML rabbit hole started with a childhood fascination for blinking LEDs and making computers do weird things. Now, armed with an engineering degree (in progress, don't tell my professors), I'm building solutions to life's little annoyances (like forgetting to rate movies on Letterboxd). Basically, if it's a problem, I'm probably building an AI to solve it.
My journey into the AI/ML rabbit hole started with a childhood fascination for blinking LEDs and making computers do weird things. Now, armed with an engineering degree (in progress, don't tell my professors), I'm building solutions to life's little annoyances (like forgetting to rate movies on Letterboxd). Basically, if it's a problem, I'm probably building an AI to solve it.
My journey into the AI/ML rabbit hole started with a childhood fascination for blinking LEDs and making computers do weird things. Now, armed with an engineering degree (in progress, don't tell my professors), I'm building solutions to life's little annoyances (like forgetting to rate movies on Letterboxd). Basically, if it's a problem, I'm probably building an AI to solve it.
My tech stack is like a buffet of awesome a little bit of Python, a dash of C++, a heaping helping of TensorFlow and PyTorch, and a sprinkle of LangChain for good measure. I'm fluent in the language of LLMs and vector databases, and I'm not afraid to get my hands dirty with the latest AI agents (as long as they don't try to steal my memes). Basically, I'm a tech-stack omnivore, always hungry for the next cool tool.
My tech stack is like a buffet of awesome a little bit of Python, a dash of C++, a heaping helping of TensorFlow and PyTorch, and a sprinkle of LangChain for good measure. I'm fluent in the language of LLMs and vector databases, and I'm not afraid to get my hands dirty with the latest AI agents (as long as they don't try to steal my memes). Basically, I'm a tech-stack omnivore, always hungry for the next cool tool.
My tech stack is like a buffet of awesome a little bit of Python, a dash of C++, a heaping helping of TensorFlow and PyTorch, and a sprinkle of LangChain for good measure. I'm fluent in the language of LLMs and vector databases, and I'm not afraid to get my hands dirty with the latest AI agents (as long as they don't try to steal my memes). Basically, I'm a tech-stack omnivore, always hungry for the next cool tool.
Certficates
Testimonials
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
Algorithm Specialization
April, 2024
This specialization focused on mastering the fundamentals of algorithm design and analysis, including divide-and-conquer strategies, graph algorithms, greedy algorithms, dynamic programming, and randomized algorithms. It enhanced my problem-solving skills and deepened my understanding of computational efficiency.
CS50’s Introduction to Computer Science
December, 2023
CS50 provided a broad introduction to computer science and programming, covering topics like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. This course gave me a solid foundation in computer science principles and practical programming skills.
Machine Learning Specialization
June, 2023
This specialization introduced me to the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, hyperparameter tuning, and practical applications. It empowered me to develop and deploy machine learning models effectively.
Cloud Computing
May, 2024
This course provided a comprehensive understanding of cloud computing, covering topics such as cloud architecture, service management, data and resource management, security, and emerging trends like fog computing. It equipped me with the skills to design, implement, and manage cloud-based solutions effectively.
Machine Learning with Python
August, 2024
This certification provided a practical introduction to machine learning using Python and Scikit-Learn. I learned to build neural networks and explored advanced techniques like natural language processing and reinforcement learning, gaining hands-on experience through various projects.
IBM Cybersecurity Analyst
May, 2023
This professional certificate program prepared me for a career in cybersecurity. Throughout the eight-course series, I developed knowledge of cybersecurity analyst tools, including data protection, endpoint protection, SIEM, and systems and network fundamentals. I also learned about key compliance and threat intelligence topics, gained skills for incident responses and forensics, and obtained hands-on experience through real-world cybersecurity case studies.
Machine Learning Onramp
March, 2023
This course provided an interactive introduction to practical machine learning methods for classification problems using MATLAB. I learned to import and preprocess data, engineer features, and build classification models, enhancing my ability to apply machine learning techniques using MATLAB tools.
Geodata Processing with Python
Feb, 2024
Offered by the Indian Space Research Organisation (ISRO), this course covered geospatial data processing using Python. Topics included an overview of GIS and geospatial data types, Python programming basics, raster and vector data processing, and the use of open-source geospatial libraries like GDAL and GeoPandas.
Principles of UI/UX Design
June, 2023
This course introduced the fundamentals of User Experience (UX) and User Interface (UI) design. I learned to empathize with users through research, create user personas, and apply design principles to develop wireframes and prototypes using tools like Figma. The course emphasized creating valuable digital products that solve user problems effectively.
Github Foundation
June, 2025
This certification validated my mastery of essential GitHub workflows for modern team collaboration. I solidified my skills in repository management, branching strategies, pull requests, and using GitHub Actions for basic CI/CD, enabling me to contribute effectively to any shared codebase.
My Stack
My go-to language for everything.
If it can be coded, it can be coded in Python (probably).
Python
My go-to language for everything.
If it can be coded, it can be coded in Python (probably).
Python
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My go-to language for everything.
If it can be coded, it can be coded in Python (probably).
Python
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When I need to wrestle with complex DSA stuff and feel like flexing my coding muscles (and maybe sacrificing a few hours of sleep).
Jupyter Notebook
When I need to wrestle with complex DSA stuff and feel like flexing my coding muscles (and maybe sacrificing a few hours of sleep).
Jupyter Notebook
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When I need to wrestle with complex DSA stuff and feel like flexing my coding muscles (and maybe sacrificing a few hours of sleep).
Jupyter Notebook
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I'm an ML engineer; do I even need to mention this? It's like asking a chef if they own a knife.
TensorFlow
I'm an ML engineer; do I even need to mention this? It's like asking a chef if they own a knife.
TensorFlow
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I'm an ML engineer; do I even need to mention this? It's like asking a chef if they own a knife.
TensorFlow
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The key to unlocking my RTX 3060, for speaking fluent CUDA and training models at ludicrous speed.
PyTorch
The key to unlocking my RTX 3060, for speaking fluent CUDA and training models at ludicrous speed.
PyTorch
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The key to unlocking my RTX 3060, for speaking fluent CUDA and training models at ludicrous speed.
PyTorch
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The hottest framework in town for all things GenAI. It's like duct tape for LLMs, it connects everything!
LangChain
The hottest framework in town for all things GenAI. It's like duct tape for LLMs, it connects everything!
LangChain
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The hottest framework in town for all things GenAI. It's like duct tape for LLMs, it connects everything!
LangChain
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For when your AI needs to have a productive argument with itself; my go to for building stateful, multi-agent systems that can reason and reflect.
LangGraph
For when your AI needs to have a productive argument with itself; my go to for building stateful, multi-agent systems that can reason and reflect.
LangGraph
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For when your AI needs to have a productive argument with itself; my go to for building stateful, multi-agent systems that can reason and reflect.
LangGraph
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My local vector workshop. It's the fast, developer first sandbox where I forge and test new RAG pipelines on my own machine before they're ready for the wild.
ChromaDB
My local vector workshop. It's the fast, developer first sandbox where I forge and test new RAG pipelines on my own machine before they're ready for the wild.
ChromaDB
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My local vector workshop. It's the fast, developer first sandbox where I forge and test new RAG pipelines on my own machine before they're ready for the wild.
ChromaDB
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For when vector search isn't a feature, but the core engine. Its performance and advanced filtering capabilities are non negotiable for my production grade AI systems.
QdrantDB
For when vector search isn't a feature, but the core engine. Its performance and advanced filtering capabilities are non negotiable for my production grade AI systems.
QdrantDB
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For when vector search isn't a feature, but the core engine. Its performance and advanced filtering capabilities are non negotiable for my production grade AI systems.
QdrantDB
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I LOVE MANGO and ig mongo aswell. The "it-just-works" database. My flexible, JSON-loving friend for when I need to move fast and not worry about rigid schemas.
MongoDB
I LOVE MANGO and ig mongo aswell. The "it-just-works" database. My flexible, JSON-loving friend for when I need to move fast and not worry about rigid schemas.
MongoDB
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I LOVE MANGO and ig mongo aswell. The "it-just-works" database. My flexible, JSON-loving friend for when I need to move fast and not worry about rigid schemas.
MongoDB
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My relational rock. The elephant that guarantees my data stays structured, my transactions stay sane, and my JOINs are always on point.
PostgresSQL
My relational rock. The elephant that guarantees my data stays structured, my transactions stay sane, and my JOINs are always on point.
PostgresSQL
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My relational rock. The elephant that guarantees my data stays structured, my transactions stay sane, and my JOINs are always on point.
PostgresSQL
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Need an API that's faster than a cheetah on roller skates? Look no further. FastAPI is my speed demon.
FastAPI
Need an API that's faster than a cheetah on roller skates? Look no further. FastAPI is my speed demon.
FastAPI
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Need an API that's faster than a cheetah on roller skates? Look no further. FastAPI is my speed demon.
FastAPI
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The full-stack toolkit I grab when a project's ORM needs to be as robust as its backend. It's for building serious apps and seriously makes me wanna cry sometime.
Django
The full-stack toolkit I grab when a project's ORM needs to be as robust as its backend. It's for building serious apps and seriously makes me wanna cry sometime.
Django
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The full-stack toolkit I grab when a project's ORM needs to be as robust as its backend. It's for building serious apps and seriously makes me wanna cry sometime.
Django
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Easy to use, easy to get free access to (student perks!). Need I say more?
Google Cloud
Easy to use, easy to get free access to (student perks!). Need I say more?
Google Cloud
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Easy to use, easy to get free access to (student perks!). Need I say more?
Google Cloud
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OpenAI. OpenAI. OpenAI………………and cosomosdb
Azure
OpenAI. OpenAI. OpenAI………………and cosomosdb
Azure
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OpenAI. OpenAI. OpenAI………………and cosomosdb
Azure
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The magic wand I use to give powerful AI agents a friendly face, turning backend logic into an interactive playground for everyone.
Streamlit
The magic wand I use to give powerful AI agents a friendly face, turning backend logic into an interactive playground for everyone.
Streamlit
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The magic wand I use to give powerful AI agents a friendly face, turning backend logic into an interactive playground for everyone.
Streamlit
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The Grand Library of AI, where I get to be an 'open-sorcerer' pulling down the latest models, datasets, and tokenizers.
HuggingFace
The Grand Library of AI, where I get to be an 'open-sorcerer' pulling down the latest models, datasets, and tokenizers.
HuggingFace
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The Grand Library of AI, where I get to be an 'open-sorcerer' pulling down the latest models, datasets, and tokenizers.
HuggingFace
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I have a soft spot for open-source stuff. It's like the Robin Hood of LLMs, taking from the closed-source giants and giving to the people(Looking at you, OpenAI).
Ollama/Llama
I have a soft spot for open-source stuff. It's like the Robin Hood of LLMs, taking from the closed-source giants and giving to the people(Looking at you, OpenAI).
Ollama/Llama
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I have a soft spot for open-source stuff. It's like the Robin Hood of LLMs, taking from the closed-source giants and giving to the people(Looking at you, OpenAI).
Ollama/Llama
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My AI-native cockpit for writing code at ludicrous speed. It's how I keep up with the breakneck pace of a startup without breaking a sweat.
Cursor
My AI-native cockpit for writing code at ludicrous speed. It's how I keep up with the breakneck pace of a startup without breaking a sweat.
Cursor
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My AI-native cockpit for writing code at ludicrous speed. It's how I keep up with the breakneck pace of a startup without breaking a sweat.
Cursor
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My daily dose of the future, delivered today. This is the unfiltered, bleeding-edge firehose of pre-prints where I catch breakthroughs straight from the lab, often months before they go mainstream.
Arxiv
My daily dose of the future, delivered today. This is the unfiltered, bleeding-edge firehose of pre-prints where I catch breakthroughs straight from the lab, often months before they go mainstream.
Arxiv
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My daily dose of the future, delivered today. This is the unfiltered, bleeding-edge firehose of pre-prints where I catch breakthroughs straight from the lab, often months before they go mainstream.
Arxiv
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Google Scholar is the sniper rifle for hunting down that one specific citation.
Google Scholar
Google Scholar is the sniper rifle for hunting down that one specific citation.
Google Scholar
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Google Scholar is the sniper rifle for hunting down that one specific citation.
Google Scholar
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My public workshop and private vault. It's where my code lives, breathes, and avoids becoming final_v3_main_new(4).py
Github
My public workshop and private vault. It's where my code lives, breathes, and avoids becoming final_v3_main_new(4).py
Github
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My public workshop and private vault. It's where my code lives, breathes, and avoids becoming final_v3_main_new(4).py
Github
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Services
01
Model Creation:
01
Model Creation:
01
Model Creation:
01
Model Creation:
Need an ML model that can predict the price of Bitcoin based on cat memes? (Okay, maybe not that specific, but close). I can whip up custom ML models using all the right frameworks—TensorFlow, PyTorch, you name it. From classification to regression, I'll make sure your data sings a beautiful, predictive tune.
Want your AI to be more than just a chatbot, like, a real digital assistant that can book meetings and order pizza? (Pizza's on you, though). I can implement agentic workflows using frameworks like Langflow and Phidata, turning your AI dreams into agentic realities.
02
Agentic Workflows:
02
Agentic Workflows:
Need a chatbot that's more witty than Clippy and more helpful than a paperclip? I can build you a GenAI chatbot that's not only smart but also charming (and hopefully won't try to take over the world).
03
GenAI Chatbot Development:
03
GenAI Chatbot Development:
Short on data? No problem! I can conjure up synthetic datasets like a genie that are so realistic, even you won't be able to tell the difference (unless you're a robot, in which case, hello there!).
04
Data Curation:
04
Data Curation:
Need to collect data from the vast expanse of the internet? I can wield Beautiful Soup and Scrapy like a digital chef's knife, slicing and dicing websites to extract the juicy data you need. And if you need some browser automation magic, Selenium's my trusty steed.
05
Web Scraping & Automation:
05
Web Scraping & Automation:
From sleek GUIs with PyQt/Tkinter that'll make your grandma say "ooh, fancy!" to powerful scripts that automate the boring stuff, I'm your Python maestro.
06
Python Development:
06
Python Development:
I can write documentation so clear, even your cat could understand it (almost). Plus, unit tests, linting, all that good stuff to make sure your code is as clean and efficient as a freshly organized sock drawer.
07
CI/CD:
07
CI/CD:
I can craft UI/UX designs in Figma so delightful, they'll make even the most hardcore Arch Linux user crack a smile (and maybe even switch to a user-friendly distro... just kidding!).
08
UI/UX Design:
08
UI/UX Design:
Need a logo that screams "we're awesome! PLEASE BUY" or a website banner that converts clicks like a caffeinated salesman? I've got the graphic design chops to make your brand shine brighter than a supernova.
09
Graphic Design:
09
Graphic Design:
I can lead a team with the efficiency of a well-oiled machine and the enthusiasm of a puppy chasing its tail (but with less drool, I promise). We'll get things done, and we'll have fun doing it.
