Full-Stack Developer Β· AI/ML Enthusiast Β· Open Source Builder
B.Tech CSE (AI) @ VIT Pune Β· Graduating 2027
I'm a full-stack developer with a growing focus on AI/ML engineering β building products that solve real problems, not just demos.
- π€ Built RAG pipelines using FastAPI, Qdrant, LangChain, and LLM APIs during my EDUAI internship β reduced OCR latency measurably
- π Active hackathon competitor β led model, TTA, CRF & inference for an off-road semantic segmentation pipeline (autonomous vehicles)
- π‘ 500+ LeetCode problems solved; comfortable at medium difficulty
- π― Currently targeting AI/ML engineering and SDE roles at product companies and startups
| Project | Description | Stack |
|---|---|---|
| π TechzDada | Edtech platform with 7K+ users, 5 years of Maharashtra college admission data | MERN |
| π EduAI | Question paper generation & answer sheet evaluation system with RAG-powered grading | MERN, FastAPI, RAG, Qdrant |
| π€ DoorstepDonation | Item donation platform with doorstep pickup and a reward system | Node.js, MongoDB |
| β MineSafe | Worker safety & attendance tracking system for coal mines | MERN |
| π Construction Monitor | Real-time construction progress tracker via Mapbox API | Node.js, Mapbox |
| πͺ FIT4You | Gym management system for memberships, trainers & user data | MERN |
- π 7,000+ real users on a self-built edtech platform
- π§ RAG + vector search pipeline built and deployed in a production internship setting
- π Off-road semantic segmentation β led ML pipeline for autonomous vehicle hackathon (Duality AI / Falcon platform)
- π» 500+ LeetCode problems solved (comfortable at medium difficulty)
- π 8.82 CGPA @ VIT Pune
π¬ Learning β LangGraph Β· Agentic RAG Β· System Design
πΌ Open To β SDE Internships Β· Full-time SDE / AI-ML Roles
"Always learning, always building."

