Hello! I'm Sahadri Bhattacharyya, an aspiring Software Development Engineer with a strong foundation in Machine Learning 🤖 and basic Full Stack development skills 🌐. I'm passionate about creating intelligent systems and user-friendly applications that solve real-world problems.
My journey in technology began with a fascination for artificial intelligence and how machines can learn from data 📊. I've since expanded my skills to include web development, allowing me to build complete solutions from the ground up 🚀.
When I'm not coding, you'll likely find me diving into the latest advancements in AI, contributing to open-source projects, or exploring new programming paradigms 💻. I believe in continuous learning and using technology to make a meaningful impact 🌟 I'm also an avid sports and football lover ⚽🏃♂️—so if you ever want to talk about the beautiful game or any sport, feel free to reach out through the contact section below 👇..
"Currently optimizing myself — the commit history is long, but the progress is solid. 💻☕🛠️🚀"
A responsive portfolio website showcasing my projects and skills, built with modern web technologies.
You are looking at the demo 🙂
An automated unit test generator that uses large language models to analyze C++ code and produce comprehensive test cases.
2022 - 2026
I studied core subjects including OS, DBMS, COA, HPC, and SE, with a primary focus on AI and ML, which form the foundation of my resume.
Summer 2024
Developed and optimized machine learning models for real world tasks like Breast Cancer Classification and Stock Market Prediction, improving accuracy by 12%.
April 2025 - Present
Built responsive websites and web applications for mainly personal projects.
2024-present
Completed certifications in Machine Learning (Corizo), Cloud computing (Coursera). Software and Full Stack Development course ongoing (Coursera)
June 2025 - July 2025
Worked on learning, building, and testing APIs, including developing a full API server and creating an LLM-based C++ unit test generator to automate test case generation from source code.