Full Stack Developer (MERN)
Computer Science undergraduate and Full Stack Developer building and deploying end-to-end MERN web applications, with additional experience in machine learning and AI.
B.Tech., Computer Science & Engineering
Expected May 2027
CGPA: 8.16 / 10
Intermediate, Physics, Chemistry, Mathematics
2020 – 2022
Score: 89.8%
Developed a healthcare AI platform using React, TypeScript, Express.js, MongoDB, Socket.IO, PyTorch, and FastAPI, with ResNet-50 and Grad-CAM for pneumonia detection from chest X-rays at approximately 92% test accuracy. Implemented a ChromaDB and OpenAI GPT-4o RAG pipeline for evidence-grounded clinical reports and an interactive medical chatbot.
Built and deployed a full-stack MERN EdTech platform with course management, Razorpay/Stripe payments, JWT-based role-based access control, and 15+ RESTful APIs for authentication, course management, and payment workflows.
Built and deployed a full-stack multiplayer draw-and-guess game using React, Node.js, and Socket.IO, with real-time stroke synchronization, turn rotation, scoring, spectator mode, replay functionality, hints, and host moderation.
Built a full-stack platform using React, Node.js, and MongoDB that combines computer-vision wheat disease detection with real-time IoT soil monitoring. Integrated a Python machine learning pipeline and JWT-secured REST APIs for soil, weather, and image analysis data.