Charles Peng
Machine Learning Platform Engineer
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolCharles Peng is a Machine Learning Platform Engineer based in Shanghai with eight years of experience building scalable ML and data pipeline infrastructure. Currently at Optiver, he focuses on designing ML libraries to support large-scale training pipelines, following work at PayPal where he implemented data/ML pipeline infrastructure and agentic LLM applications. He combines hands-on engineering with research-oriented training from an MS in Computer Science at The University of Hong Kong and practical industry exposure from ByteDance and PayPal internships. Comfortable across production ML systems and tooling, he brings a pragmatic approach to operationalizing models and accelerating developer workflows. Notably, his trajectory reflects a shift from applied ML engineering into platform-level solutions that enable robust, large-scale training and inference.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Tongji UniversityThe University of Hong Kong (HKU)
Github Skills (46)
scripting9
interaction9
solver8
multimodal8
svm8
model-predictive-control8
webapp8
robotics8
constrained-optimization7
nodejs7
python7
quadratic-programming7
frontend7
optimization6
webui6
Programming languages (5)
Github contributions (5)
CharlesPeng1998/6.824-golabs-2021
Dec 2021 - Dec 2022
Labs of MIT6.824
Contributions:79 commits, 19 PRs, 53 pushes in 11 months
CharlesTuring/CharlesTuring.github.io
Mar 2019 - Sep 2019
Contributions:56 pushes, 1 branch in 5 months
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