AI Engineer | Full-Stack Developer | B.Tech @ IIT Kharagpur (2027) I specialize in building intelligent, scalable applications that bridge the gap between robust backend systems and cutting-edge AI. Currently focusing on LLM Orchestration, Vector Databases, and RAG Pipelines.
- 🚀 AI Engineering: Building RAG (Retrieval-Augmented Generation) systems, working with LangChain, LangGraph, and optimizing LLM performance via OpenRouter.
- 💻 Full-Stack Development: Architecting responsive frontends with Next.js and TypeScript, backed by scalable serverless infrastructures like Supabase.
- 🗄️ Data Architecture: Proficient in Vector search (Pinecone), relational databases (PostgreSQL), and real-time data handling.
| Category | Tools & Languages |
|---|---|
| AI / ML | LangChain, LangGraph, RAG, Pinecone, OpenRouter, Prompt Engineering |
| Frontend | Next.js, React.js, TypeScript, Tailwind CSS, JavaScript (ES6+) |
| Backend & DB | Node.js, Supabase (PostgreSQL), Auth, Edge Functions |
| Languages | C++, Java, Python, SQL |
| DevOps & Tools | Git, Docker, n8n Automation, Linux |
A full-stack memory-retrieval system utilizing RAG to function as a digital second brain.
- Stack: Next.js, TypeScript, Supabase, Pinecone, LangChain.
- Key Feature: Implemented semantic search over personal notes with high-accuracy retrieval.
- Competitive Programming: Codeforces Expert. I apply algorithmic optimization to AI pipeline efficiency and backend performance.
- Problem Solving: Strong foundation in DP, Graphs, and Advanced Data Structures.
- General Secretary of Mess (2023-2024): Managed operations for 150+ students, optimizing procurement and logistics budgets.
- Captain, Chess Team (IIT KGP): Leading strategic preparation and competitive play at the collegiate level.
