💻 Electronics & Computer Engineering Student | 🚀 AI/ML Engineer & Full-Stack Developer | ☁️ Cloud & Systems Enthusiast
- 🎓 Currently pursuing B.E. in Electronics and Computer Engineering at Thapar Institute of Engineering and Technology (2022–Present)
- 🛰️ Former Remote Sensing Intern — built high-accuracy ML models for cyclone forecasting (94%) & methane emission estimation (97%) using NASA/NOAA satellite data & Google Earth Engine
- 🧠 Strong foundation in AI, Machine Learning, Cloud Computing, DSA, OS, DBMS & NLP
- 🔭 Working with C/C++, Java, Python, JavaScript, MATLAB, and frameworks like React, Node.js, Express, PyTorch, TensorFlow, Flask
- 🌱 Building scalable systems, ML models & full-stack applications — learning by doing!
- 🏆 Co-author of research on AI-powered facial recognition attendance systems and patent holder for intelligent attendance automation
- 🧾 Intelligent-Registration-System – End-to-end intelligent registration platform with a complete frontend UI and backend automation to handle form submissions, validations, and workflow processing.
- ⚡ Weather-Based-Power-Load-Forecasting – ML-based system for predicting electricity demand using historical weather & consumption data to support smart energy management.
- 💻 SolveOn – Full-stack online coding platform with problem solving, code submissions, automated evaluation, discussions, and authentication.
- 📈 Stock-price-prediction – Machine Learning project for forecasting stock price movements using data preprocessing, feature engineering, regression models & visual trend analysis.
- 🌐 mcts-predictor – ML model to predict win rates between Monte Carlo Tree Search (MCTS) variants, simulate tournament leaderboards, and explore performance comparisons.
- 🏛️ library-management-dbms – Library Management System using SQL & PL/SQL (customer & employee login, media inventory, rentals & fines, full DB schema & documentation).
💡 Code + Coffee = Happiness ☕
🌍 Open to collaboration and new learning opportunities