Clement Ou is a software engineer based in San Francisco with a decade of experience building production systems and machine learning tooling. He has moved between startups and academia, from founding engineer work on agentic risk workflows to teaching software engineering at Carnegie Mellon and shipping risk-focused data engineering and neural machine translation projects. His background in Statistics & Machine Learning from CMU informs a data-driven approach to product development, blending research rigor with pragmatic engineering. Clement has hands-on experience in manufacturing test automation and rapid prototyping in high-velocity startup environments. Colleagues describe him as someone who pivots smoothly between low-level engineering detail and high-level system design, and who brings curiosity about failure modes and safety into product decisions. He’s currently focused on building scalable software systems at Sierra while exploring the intersections of AI, risk, and reliable productionization.
10 years of coding experience
1 year of employment as a software developer
Gunn High School
Bachelor of Science - BS, Statistics & Machine Learning, Bachelor of Science - BS, Statistics & Machine Learning at Carnegie Mellon University
Contributions:1 review, 6 PRs, 132 pushes in 1 year 1 month
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