SK.

SOURABH KAPURE.

Pre-final year at NIT Karnataka — writing code, shipping products, thinking in systems.

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Focus

Full-Stack Engineering
AI Systems • Product Thinking

Featured Project

WebRAG – Scalable RAG Engine

High-concurrency RAG system built with Gemini-embedding-001 and Qdrant for low-latency document retrieval

Python FastAPI Celery Qdrant +4
Also Built

StockSense: AI Financial Agent

LangGraph-powered stateful workflow for autonomous financial news analysis and stock insights

Python LangGraph FastAPI Gemini API +3
Top 7% Amazon ML Challenge
ETHIndia '24 Winner
2 Global Internships
Multiple Apps Shipped to Production

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