I'm an Information & Communication Technology student who splits time between two worlds: grinding DSA on LeetCode/Codeforces for the fundamentals, and building Generative AI systems โ RAG pipelines, multi-tool LangGraph agents, and vision-enabled assistants โ for the fun of shipping something that actually answers questions.
- ๐ญ Currently building HybridSight โ a RAG + Web Search + Vision agent with LangGraph, Groq, and ChromaDB
- ๐ฑ Currently deep in a 6-week Generative AI curriculum (
genai-soc-2026) - ๐ก Also comfortable in database design โ built a production-style pharma tracking system in PostgreSQL
- โก Fun fact: my first "AI agent" was a terminal Tetris game with better collision logic than most tutorials
Languages
Generative AI / Agents
Databases & Backend
Tools
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RAG + Web Search + Vision agent in one LangGraph graph โ answers from uploaded PDFs, live DuckDuckGo search, Wikipedia, and image uploads, with a visible per-tool reasoning trace. Stack: LangGraph ยท Groq ยท ChromaDB ยท GradioRepo โ |
Production-ready PostgreSQL database for pharmaceutical factories โ raw material tracking, expiry risk flags, and recall management, built with PL/pgSQL. Stack: PostgreSQL ยท PL/pgSQLRepo โ |
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A progression from Python fundamentals to time-series forecasting โ probability, statistics, and ARIMA modeling. Stack: Python ยท Statistics ยท ARIMARepo โ |
Terminal-based Tetris built to showcase clean object-oriented design โ collision detection, piece rotation, and state management. Stack: C++ ยท OOPRepo โ |
Currently grinding: LeetCode streaks by day, LangGraph agents by night.