Hongzhi Chen
Senior Staff Software Engineer at Coupang
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolHongzhi Chen is a Senior Staff Software Engineer with six years of experience building large-scale ML systems and leading engineering teams across top tech companies. He led development and management of DGL at AWS/Amazon, contributing performance optimizations and refactors to a widely used open-source graph deep learning library. Previously he tech-led UGC teams at Google Maps, delivering both mobile frontends and backend user-retention systems, and now drives Catalog ML Platform work at Coupang. Hongzhi blends hands-on backend engineering with platform-level architecture and people management, routinely improving system efficiency and developer experience. He holds an MS in Computer Science from the University of Tokyo and a BE from Nankai University, bringing rigorous academic grounding to production-grade ML infrastructure. An understated strength is his focus on code clarity and tooling improvements that yield outsized gains in long-term maintainability and performance.
6 years of coding experience
10 years of employment as a software developer
University of TokyoBachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Nankai University
Github Skills (7)
python10
dgl10
cprogramming-language9
refactoring9
c-language9
code-optimization9
documentation7
Programming languages (4)
Github contributions (5)
dmlc/dgl
Aug 2022 - Jan 2023
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Role in this project:
Backend Developer
Backend DeveloperContributions:2 releases, 2551 reviews, 84 commits in 4 months
Contributions summary:Hongzhi contributed to the DGL library by implementing optimizations and refactoring code, focusing on improving efficiency and readability. Their work includes clarifying variable names within the message function and auto-fixing code in setup.py and update-version.py. Further contributions involved the refinement of the user-defined function structure within the udc.py and the adjustment of docstrings.
pytorchpythondeep-learningmachine-learninggraph-neural-networks
frozenbugs/dgl
Aug 2022 - Feb 2023
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Contributions:260 pushes, 189 branches in 5 months
pytorchpythondeep-learningmachine-learninggraph
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