John Fang
Software Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJohn Fang is a software engineer with 11 years of experience, currently building core infrastructure and self-resolution flows on Meta’s Billing Trust ML team to reduce payment fraud and enable trusted advertiser spend. He holds an MS in Machine Learning from Carnegie Mellon and dual BS degrees in Computer Science (Turing Scholar) and Mathematics from UT Austin, blending rigorous ML knowledge with strong systems and backend engineering skills. His background includes multiple Facebook internships where he shipped tooling and frameworks—ranging from C++ and React-based diagnostics to PHP/Hack code-generation systems—that reduced boilerplate and improved observability. Based in Seattle, he brings a practical focus on measurable operational improvements in high-scale services and a track record of turning opaque systems into debuggable, instrumented platforms. An early interest in embedded and biomedical projects hints at a long-standing curiosity for applied engineering across hardware-adjacent and cloud systems.
11 years of coding experience
2 years of employment as a software developer
High School, High School at North Carolina School of Science and MathematicsBachelor's degree, Mathematics, Bachelor's degree, Mathematics at The University of Texas at AustinMaster's degree, Machine Learning, Master's degree, Machine Learning at Carnegie Mellon University
English, ChineseProgramming languages (1)
Github contributions (5)
jfanggg/aoc-2019
Dec 2019 - May 2020
alexandria ocasio-cortez 2019
Contributions:95 commits, 1 PR, 78 pushes in 5 months
alexandria
jfanggg/vimrc
Mar 2018 - Mar 2021
Contributions:3 commits, 2 pushes, 1 branch in 3 years
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