Amaey Agarwal

I’m a full-stack AI product builder and final-year Computer Science student, focused on architecting and shipping production-grade Agentic AI and GenAI systems. I’ve built open-source, end-to-end solutions that combine LLM orchestration, multi-agent pipelines, and full-stack delivery.

I created a 5-agent LLM coding council (Electron, FastAPI, LangChain, Groq) and a real-time F1 strategy platform with React, Redis, XGBoost, and ChromaDB RAG. In one project, I designed event-driven microservices to stream telemetry over binary WebSockets at 60Hz, achieving a 40% bandwidth reduction vs. JSON, while delivering 60 FPS live visualization.

I also co-founded Wilexier Techno LLP, where I helped drive an agentic home automation product and achieved measurable quality and latency gains (24% fewer critical bugs and 47% improved AI response latency). Alongside building products, I authored a Multi-Agent Council research paper accepted across multiple IEEE conferences and Springer edited volumes—because I want my work to be both shippable and defensible.