- π 2nd-year B.Tech in AI & Robotics at UEM Kolkata (GPA: 8.19)
- π Currently building multi-agent AI platforms, RAG pipelines, and geospatial AI systems
- π‘ Passionate about solving real-world problems with LLMs, vector databases, and scalable APIs
- π§© Solved 100+ LeetCode problems in C++ β Arrays, Trees, Recursion & more
- π Certified in Machine Learning Specialization by DeepLearning.AI (Andrew Ng)
- π Based in Kolkata, West Bengal
Orchestrates 3 specialized AI agents (Research, Analysis, Coding) from a single natural language goal using a custom planner with intent detection.
- π Dual Tavily web searches with relevance scoring + ChromaDB cross-session memory
- π‘ Returns personalized startup ideas with market size, competitors & risk assessment
- π§ FastAPI REST layer with Pydantic v2, in-memory task store + n8n workflow automation
FastAPI GPT-4o ChromaDB Tavily Pydantic v2 n8n
πΊοΈ NGO Resource Allocation Platform
Full-stack disaster relief platform connecting affected users to the nearest NGO using PostGIS spatial queries within a 200km radius.
- ποΈ Multi-modal ingestion: text, Whisper STT, Tesseract OCR β GPT-4o structuring agent
- β Two-stage AI validation with confidence thresholds + live stock checks
- πΊοΈ NGO admin dashboard with severity-colored live map + JWT-authenticated inventory CRUD
- π Deployed on Railway + Vercel + Neon with Sundarbans flood scenario seed data
FastAPI PostgreSQL PostGIS GPT-4o Whisper Next.js 14 Redis Railway
RAG pipeline ingesting Tesla's 10-K PDF, generating embeddings via HuggingFace, stored in Pinecone, answered by Google Gemini.
Python LangChain Google Gemini Pinecone HuggingFace
β‘ "Build systems that think, scale, and solve." β‘

