Summary
Bingzhao Shan is a software engineer based in the San Francisco Bay Area with nine years of experience specializing in computer vision and machine learning. Currently at Meta, he brings a research-driven approach honed through an MS in Computer Science from the University of Michigan and research roles at Toyota Research Institute and the University of Michigan. His background spans applied perception systems for vehicles, production-facing CV tooling, and academic projects—including a published video-to-slide matching system built with OpenCV that reached 95% accuracy. He has hands-on experience accelerating evaluation pipelines, improving tooling performance, and teaching core CS and ML courses at the University of Toronto. Comfortable moving ideas from research prototypes to scalable implementations, he combines strong engineering discipline with a track record of practical impact in both industry and academia. Outside core projects, he maintains a personal site and GitHub showcasing his work and reproducible experiments.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Michigan
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Toronto