Christopher Ho is a Senior Software Engineer in Palo Alto with eight years of experience building production-grade systems at the intersection of C++, probabilistic math, and machine learning. He has led autonomy teams and shipped safety-critical planning and decision-making software for autonomous vehicles and large-scale NLU/LLM infrastructure at companies including Apex.AI, Faraday Future, Google, and YouTube. Comfortable toggling between individual technical contribution and team leadership, he blends rigorous academic research in reinforcement learning and POMDPs with pragmatic engineering for real-time systems. His work spans architecture, implementation, verification, and tooling for production autonomy and trust-and-safety applications, reflecting equal appetite for elegant math and robust engineering. Notably, he has extended core RL algorithms (e.g., POMCP) and applied them at scales with enormous state spaces, a background that informs his approach to LLM infra and safety.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Mechanical Engineering, 3.82, Bachelor of Science (B.S.), Mechanical Engineering, 3.82 at University of California, Santa Barbara
Master of Science (M.Sc.), Aerospace, Aeronautical and Astronautical Engineering, 3.63, Master of Science (M.Sc.), Aerospace, Aeronautical and Astronautical Engineering, 3.63 at Stanford University
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Christopher Ho - Senior Software Engineer at YouTube