David Feng

Machine Learning Engineer at Meta

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
David Feng is a machine learning engineer with 10 years of experience who combines a strong mathematical physics background from the University of Waterloo with hands-on ML and software engineering across startups and large tech. He has built production ML systems for monetization and ranking at Meta and led end-to-end generative AI tooling, MLOps, and ML system design as founding engineer at an AI startup. His career spans fintech, fraud detection, platform engineering, and algorithmic trading, reflecting a knack for applying quantitative methods to messy, real-world data problems. Comfortable across backend, ETL, and distributed systems, he repeatedly ships robust pipelines and tooling that bridge research models to production. Based in New York, he brings both startup grit and product-oriented engineering from early-stage builds to scalable systems at scale. Colleagues would note his uncommon mix of theoretical depth and pragmatic product focus—he’s as likely to derive a model from first principles as to deploy it with CI/CD.
code10 years of coding experience
job7 years of employment as a software developer
bookBachelor of Science Mathematical Physics, Minor in Pure Mathematics, Bachelor of Science Mathematical Physics, Minor in Pure Mathematics at University of Waterloo
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Github Skills (71)

react-context10
redux10
state-management10
react10
sql9
decorators9
postgresql9
mysql9
sqlite9
nodejs9
database8
d18
javascript8
deno-deploy8
annotations8

Programming languages (6)

TypeScriptJavaLeanRustLuaPython

Github contributions (5)

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fenghourun/physim

Feb 2020 - Nov 2022

Numerical simulations of physical systems
Contributions:24 commits, 4 PRs, 31 pushes in 2 years 9 months
physicspythonhpc-applicationsnumerical-simulationsscientific-computing
fenghourun/nvim

Sep 2022 - Dec 2022

Contributions:12 commits, 365 pushes, 3 branches in 4 months
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David Feng - Machine Learning Engineer at Meta