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Pawan K Jha is a Sr. Principal AI/ML Scientist and Systems Architect with over 15 years of experience building large-scale machine learning platforms, LLM inference systems, search and ranking, forecasting systems, and production AI architecture. Throughout his career, Pawan has designed and shipped ML systems that operate at massive scale — from feature platforms serving billions of predictions per day, to LLM serving infrastructure handling complex multi-model inference pipelines. He has deep expertise in the full ML stack: GPU scheduling, KV cache management, tensor parallelism, model quantization, continuous batching, and the operational layer that makes it all reliable in production. He is the founder of Architecting Intelligence Labs, an independent research and consulting practice focused on the hardest problems in production AI. Through deep technical writing, courses, tools, and consulting, he translates years of production experience into content and products that make serious ML engineers better at their craft. Pawan publishes a widely-read technical newsletter on Substack (pawankjha.substack.com) and is active on X as @PawanMLEng, where he shares daily insights on LLM inference, ML infrastructure, and production AI systems.