Chirag Agrawal

Chirag Agrawal is a software engineer with over a decade of experience building large-scale NLP, AI, and conversational systems. His work focuses on agent runtimes, SDKs, LLM orchestration, and compiler-style systems. He specializes in generalized AI platforms that enable the development, execution, and operation of a wide variety of AI applications.Currently, Chirag is focused on multi-agent runtime systems, long-horizon memory, LLM-driven tool orchestration, KV-cache optimization, and platforms for next-generation open protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A).As a Docker Captain, Chirag brings that same practical engineering perspective to the container ecosystem. He is interested in how Docker can make modern AI and software development more reproducible, portable, and easier to work with, especially for teams building with LLMs, agents, MCP integrations, and platform engineering workflows. He enjoys mentoring engineers, sharing lessons from real-world systems, and helping developers build practical technology.

Website: http://chiraga.io/