Dennis Feng
Machine Learning Engineer at Microsoft
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolDennis Feng is a machine learning engineer with 11 years of experience applying statistical and ML methods to high-stakes systems, currently building safety- and product-focused models at Microsoft in Sunnyvale. He brings a rare blend of quantum hardware experience from Rigetti—where he improved qubit gate fidelity with Bayesian optimization and built reproducible ML pipelines—and applied ML work like fine-tuning weather models and LLM-powered security tooling in Azure. His projects span end-to-end systems: data collection, experiment management with DVC, model training, and production integrations using Azure services and Docker. Motivated by reducing risks from highly capable AI, he combines deep technical rigor with practical deployment experience and a track record of improving noisy, real-world systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Engineering Physics, Bachelor of Science (B.S.), Engineering Physics at University of California, Berkeley
English, Chinese
Github Skills (26)
visual-studio-code10
electron10
microsoft10
typescript10
vscode-extension10
editor10
visual-studio10
vscode10
accessibility9
reader9
jupyter-extension9
wpf9
screen-reader8
nvda8
plot8
Programming languages (2)
Github contributions (5)
dennischenfeng/qnl_qmtrajproj
Mar 2017 - Aug 2021
Contributions:21 pushes, 1 branch in 4 years 6 months
dennischenfeng/lbl_gem_tpc_2
Jul 2015 - Aug 2021
Contributions:6 pushes, 1 branch in 6 years 2 months
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