Hourun Feng
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDavid 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.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Bachelor of Science at University of Waterloo
Github Skills (58)
redux10
react-context10
state-management10
react10
annotations9
vim-plugin9
sqlite9
physics9
nodejs9
decorators9
theorem-proving9
text-mining8
microsoft-sql-server8
neovim-plugin8
orm8
Programming languages (7)
Github contributions (5)
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
DavFeng1/NumericalMethods
Dec 2015 - Jan 2020
Contributions:14 pushes, 1 branch in 4 years 2 months
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