Ge Feng is a Senior Software Engineer based in New York with nine years of experience building large-scale infrastructure and privacy-sensitive ad systems. He has driven production features at Google enabling over a billion daily registrations for Android attribution and now works on observability at Datadog. Previously at Oracle/Moat he led and scaled post-bid blocking and brand safety products, improving metric accuracy and operational monitoring with Prometheus/Grafana. He has managed and grown engineering teams, delivering product-focused systems and mentoring engineers to promotion. Trained as a PhD chemist and retrained at App Academy for full‑stack development, he brings a rare blend of rigorous research thinking and practical software craftsmanship. Notably, he routinely navigates complex, unfamiliar codebases independently to deliver high‑impact, compliant solutions.
9 years of coding experience
7 years of employment as a software developer
Chemistry, Chemistry at University of Michigan
Bachelor of Science (B.Sc.) Chemistry, Bachelor of Science (B.Sc.) Chemistry at Peking University
Doctor of Philosophy (Ph.D.) Chemistry, Doctor of Philosophy (Ph.D.) Chemistry at University of Chicago
Full stack web development, Full stack web development at App Academy
An Active Record-inspired object-relational mapping (ORM) library in Ruby
Contributions:33 commits, 2 PRs, 31 pushes in 5 years 1 month
relationalrailsrubymappingactive-record
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