Charles Foo is a software engineer with 11 years of experience focused on bringing ML research into production for safety-critical surgical robotics at Verily (Alphabet). He builds end-to-end ML infrastructure—ML CI/CD, serving systems on Google Cloud, and PHI-compliant pipelines—and is the go-to engineer for integrating TensorFlow models that evaluate surgical skill. His background in computer science and mathematics from UW–Madison includes research-grade scientific software and 3D visualization for the widely used NBO7 chemistry tool, highlighting his comfort with both research code and production systems. Based in San Francisco, he blends deep technical rigor in ML and systems engineering with a practical emphasis on reliability and regulatory compliance.
10 years of coding experience
Bachelor of Science (B.S.), Computer Science and Mathematics, Bachelor of Science (B.S.), Computer Science and Mathematics at University of Wisconsin-Madison
Contributions:6 pushes, 1 branch in 2 years 7 months
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