Builds multi-agent systems that ship, not just demo.
Six-plus years in full-stack engineering (Node.js, Python, AWS, Azure), now focused on real-time agentic AI infrastructure — LangGraph workflows, MCP servers, and the plumbing that lets LLMs talk to enterprise systems reliably.
I'm a full-stack engineer who moved into agentic AI infrastructure because it's where backend systems thinking actually matters most right now. I design real-time, multi-agent workflows using LangGraph and Model Context Protocol servers, backed by Redis state management and Kafka-driven microservices. Most of my work sits at the seam between enterprise data (PostgreSQL, MongoDB) and LLM orchestration — plus the chatbot UIs and desktop apps that sit on top of it.