🤖 Building multi-agent LLM systems with LangGraph, FastAPI, and RAG pipelines

🏗️ Currently an Agentic Systems Engineering Intern — designing orchestration, state, and failure handling for autonomous agent workflows

🎯 Interested in the boundary between deterministic computation and probabilistic reasoning — keeping LLMs from asserting things they can't source

🎓 B.Tech Computer Science & Engineering · Graduating July 2027

Multi-agent orchestration — LangGraph state machines with typed inter-agent contracts, conditional routing, and explicit retry / partial-completion / failure paths.

Grounded LLM output — no-source-no-answer contracts, citation enforcement, and hard architectural boundaries between what the model narrates and what deterministic code computes.

Real-time voice AI — bidirectional audio streaming over WebSockets with incremental transcription and barge-in handling.