Anwar Khan is a Senior Staff Software Engineer in Enterprise AI at John Deere, where he designs and secures production-grade AI systems that run on real industrial and operational data. With more than 16 years in software and AI, he specializes in agentic AI and multi-agent orchestration, large language model and retrieval-augmented generation (RAG) systems, AI and tool-server security (including the Model Context Protocol), MLOps and AI evaluation and observability, cloud architecture, and large-scale data platforms. He is known for moving AI from pilot to dependable production, and for the view that the quality ceiling of any AI system is set by how the data is prepared, not by which model is chosen. He can speak to why enterprise AI works in a demo but breaks in production, why secu...