Beryl Lee
Senior Machine Learning Engineer at Zelig
San Jose, California, United States
Summary
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Senior🎓
Top SchoolBeryl Lee is a Senior Machine Learning Engineer based in San Jose with a decade of experience building production computer vision systems and ML infrastructure. She has led end-to-end model development and data pipelines at Google and now drives AI initiatives at Zelig, after earlier work that contributed to Phiar’s acquisition. Her background blends rigorous academic training in physics and electrical engineering with hands-on deep learning applied to semiconductor imaging, where she delivered a 98% accuracy model and boosted recall by 40% through algorithmic and sampling improvements. Comfortable in C++ and Python, she also has experience designing in-house training platforms and integrating generative AI into data workflows. Colleagues describe her as a motivated problem-solver who bridges research-grade optics knowledge with practical, production-ready ML engineering.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at National Taiwan UniversityComputer Vision Nanodegree, Computer Vision Nanodegree at UdacityUniversity of California, Los Angeles
Chinese, English, Japanese
Github Skills (10)
tensorflow8
matconvnet6
tsne6
matlab6
ordinal-classification6
autonomous-driving5
pytorch5
computer-vision4
deep-learning3
autonomous-vehicles3
Programming languages (3)
Github contributions (5)
k8280627/Movie-Database-Website
May 2016 - Jul 2019
Contributions:10 commits, 9 pushes, 1 branch in 3 years 3 months
k8280627/Gender-classification-using-Fisher-Linear-Discriminant
Oct 2016 - Oct 2016
Contributions:7 commits, 5 pushes, 1 branch in 2 days
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