role: Generative AI Engineer | Backend Engineer | Full Stack Engineer
education: B.E. Electronics & Telecommunication Engineering
location: Pune, India
focus: LLM Applications → RAG Pipelines → Backend SystemsI build LLM-powered applications — RAG pipelines, vector search, and AI agents — backed by solid backend engineering: secure auth (JWT/OAuth/RBAC), REST APIs, and real-time systems with WebSockets.
Also working with Generative AI — LLM APIs, RAG, vector embeddings, vector databases, and AI agents.
🧠 ChatWithDocs — RAG document Q&A app
RAG-based application that lets users query their own documents using LLM APIs, vector embeddings, and pgvector.
Next.js TypeScript Supabase pgvector LLM APIs
🏆 EduFlow — Full-stack student productivity platform
Notes, resources & task management for students — built for an Open Source Hackathon.
React Node.js Express MongoDB JWT Multer Cloudinary
ContribStart — Open-source contribution discovery platform
Helps developers find beginner-friendly open-source issues and track their contribution journey.
MERN
GitHub Profile CLI — CLI tool for GitHub profile data
Command-line tool for working with GitHub profile information.
CLI
- Open Source Contributor — GirlScript Summer of Code
- Hacktoberfest participant
- Google Summer of Code proposal submissions
- Smart India Hackathon participant
- ISRO BAH participant
- Ship production-ready RAG / LLM-powered applications
- Master secure auth — JWT, OAuth 2.0 & RBAC
- Go deeper on vector databases & AI agent tool-calling
- Dockerize and deploy full-stack apps end-to-end
- Set up real CI/CD pipelines on GitHub Actions
- Deploy & manage infrastructure on AWS with Nginx
- Strengthen System Design & scalable backend architecture
Let's build something intelligent, secure & scalable