I'm a recent B.Tech Computer Science graduate who enjoys learning by building things. I started with full-stack development and taught myself the MERN stack by working on real projects with React, Node.js, Express, and MongoDB.
These days, I'm exploring AI development and learning how to bring LLMs, RAG, vector databases, and LangGraph into the products I build. I like figuring things out as I go, turning ideas into working products, and learning from what I build along the way.
I'm currently looking for an internship where I can work on real problems, contribute to a team, and keep getting better at building useful software.
Gondia, Maharashtra, India · Hybrid
Completed a 6-month frontend development internship. Worked with HTML, CSS, JavaScript, and React to support web-based projects. Gained early exposure to collaborative development workflows and project documentation.
Full-stack GitHub analytics dashboard with side-by-side profile comparison. Includes JWT-signed shareable URLs and an AI Weekly Digest feature powered by the Claude API with streaming responses.
A developer tool that shows what's actually filling an AI coding agent's context window and what to change to fix it. Runs as a local proxy that captures and analyzes API calls to surface wasted tokens.
Eco-Guard AI helps campuses manage sustainability by analyzing energy, water, and waste data using AI and RAG. Tested on simulated campus datasets, it successfully identified resource-use patterns and generated context-aware recommendations supported by sustainability knowledge and policies. The research demonstrates a modular decision-support system for smarter sustainability management, with future scope for real-time IoT monitoring and predictive analytics.