Yi Cheng
Summary
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RockstarYi Cheng is a software engineer based in San Francisco with deep expertise in build systems, developer productivity, and automation, currently contributing to ML platform developer workflows at Netflix. With seven years focused on build tooling and automation and five years of professional experience across major tech companies, Yi has driven monorepo migrations, CI/CD conversions, remote caching, and large-scale build cache services at ByteDance, Twitter, and beyond. He has a strong background in Bazel migrations, trunk health enforcement, and metrics-driven infrastructure improvements that have supported tens of thousands of build workers. Earlier work in robotics and C++—including kinematics for fiber placement machines and mesh restoration—gives him a rare blend of low-level algorithmic skill and large-scale infrastructure experience. Yi also engages with ML infrastructure work on GitHub and brings a pragmatic focus on shipping reliable, high-performance developer tooling.
5 years of coding experience
Github Skills (54)
pytorch10
parallel10
rllib10
python10
data-science10
pandas10
machine-learning10
modin10
large-language-models10
analytics10
reinforcement-learning10
java10
scaling10
dataframe10
llm10
Programming languages (6)
Github contributions (5)
ychengi/ray
Nov 2020 - Jan 2021
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Contributions:2 PRs, 31 pushes, 3 branches in 2 months
apirayscalabledistributed-applicationshyperparameter
merlinepedra25/RAY-1
Apr 2022 - Jul 2022
Contributions:91 commits in 2 months
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