Computer Science Undergraduate · AI, ML & Full Stack Developer
B.Tech AI & Data Science student at NIT Kurukshetra — building intelligent systems that matter. From deep learning models to full-stack platforms, I turn data into decisions and ideas into impact.
I'm a B.Tech AI & Data Science student at NIT Kurukshetra, fascinated by the intersection of machine learning, full-stack engineering, and real-world problem solving. I love building things that are both technically rigorous and genuinely useful.
From training deep learning models on medical datasets to architecting full-stack web platforms during hackathons — I thrive across the entire development stack. My approach combines strong mathematical foundations with pragmatic engineering instincts.
Outside of projects, I stay sharp with 600+ DSA problems on LeetCode, contribute to the Technobyte Society at NIT KKR, and keep exploring the latest advances in AI and data science research.
AI-powered platform analyzing ECG signals, blood test data for automated medical insights. Trained on PTB-XL datasets. Achieved AUC-ROC 0.91 for ECG multi-label classification. Models deployed via ONNX for efficient real-time inference.
Backend APIs with JWT authentication and MongoDB integration for managing user-generated medicinal plant content and bookmarks.
Real-time community platform with anonymous chat rooms, question forums, comments, and Socket.IO-based messaging with MongoDB integration.
Real-time weather app fetching live data via OpenWeatherMap API. Displays temperature, humidity, wind speed, and dynamic weather icons based on current conditions.
I'm actively looking for internship opportunities in AI/ML engineering, data science, and full-stack development. Feel free to reach out — I'd love to connect and collaborate!