| about: | With a background spanning machine learning, R&D leadership, and backend engineering, I bridge the gap between AI research and production reality. I specialize in architecting autonomous multi-agent systems that solve complex tasks through intelligent orchestration and coordination. By leveraging the Model Context Protocol (MCP) and frameworks like LangGraph and CrewAI, I build stateful, resilient systems that move beyond prototypes. Whether it's a LangGraph tutorial for python or a complex CrewAI production deployment, I focus on delivering true operational value through scalable Python and FastAPI infrastructure. |