AI Engineering student building production-grade systems across machine learning, LLMs, RAG, and multi-agent AI. My work combines rigorous experimentation with real-world deployment, from scalable backend services to end-to-end AI products. Recognized with 4th Prize at the National Healthcare Hackathon 2026, Global Rank #14 in Google Cloud Code Vipassana Season 15, and a merged pull request to the Microsoft Terminal repository through open-source contributions.
Currently: exploring Agentic AI, Model Context Protocol (MCP), Retrieval-Augmented Generation, and LLM evaluation. Seeking: AI/ML Engineering, Software Engineering, Data Science, and Research Internship opportunities.