Summary
Christopher Chou is a graduate student researcher and software engineer with 7 years of experience building large-scale ML systems and production infrastructure. Currently at Stanford SAIL, he helped build open language models and inference pipelines that classify quality and generate synthetic data across trillions of tokens using hundreds of spot TPUs. His background spans research and industry roles—DeepMind, Berkeley RISE Lab (MLSys 2024 publication), NVIDIA, and Anyscale—where he optimized autoscaling, real-time cluster health monitoring, and low-latency serving for millions of requests. Comfortable across systems, ML, and product, he’s delivered both research-grade evaluation tools (e.g., LoRA serving and Chatbot Arena traffic) and production C++/distributed systems improvements that cut latency and boosted throughput. Based in the Bay Area, he pairs academic rigor from Stanford and UC Berkeley with a practical affinity for automation and operationalizing cutting-edge models.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Business Administration, Bachelor of Science - BS, Business Administration at University of California, Berkeley, Haas School of Business
Washington High School
Bachelor of Science - BS, B.S. Electrical Engineering and Computer Science, B.S. Business Administration, Bachelor of Science - BS, B.S. Electrical Engineering and Computer Science, B.S. Business Administration at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Chinese, Spanish, English, Korean