Peng Huang
Staff Machine Learning Engineer at Nextdoor
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPeng Huang is a Staff Machine Learning Engineer in San Francisco with 11 years building production ML and backend systems across growth, fraud, ads, and platform infra. He has led and scaled ML teams and platforms at Nextdoor, Affirm, Uber, and Clari, including founding ML Platform and LLM infrastructure at Clari and splitting monolithic streaming feed infra into k8s-native flavors at Nextdoor. Trained in applied mathematics and statistics at UCLA, he blends deep statistical rigor with hands-on engineering across backend, distributed systems, and self-taught front-end work. Known for tackling end-to-end problems—from real-time scoring and ads optimization to ML infra for company-wide AI use cases—he favors practical, auditable solutions that bridge research and production.
11 years of coding experience
9 years of employment as a software developer
University of California, Los Angeles
English, Chinese, Chinese
Github Skills (42)
helmfile8
avro8
schema7
csharp7
json7
confluent7
php7
python7
rest-api7
cpp7
protobuf6
kafka6
ruby6
objective-c6
schema-validation6
Programming languages (8)
Github contributions (5)
pjthepooh/dotfiles
Apr 2017 - Aug 2023
Contributions:13 pushes, 1 branch in 6 years 5 months
pjthepooh/leetcode
Aug 2016 - Oct 2019
Contributions:198 pushes, 8 branches in 3 years 2 months
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