Haochen Zhang
Machine Learning Engineer at Gatik
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHaochen Zhang is a machine learning engineer with eight years of experience building scalable ML and systems software across autonomous vehicles, web agents, and imaging research. He blends deep academic research—focusing on federated learning, distributed caching, and large-scale image segmentation—with hands-on production work in PyTorch, CUDA, Rust, and cloud services. At Tiny Fish and Gatik he translated prototype models into scalable pipelines, while earlier roles at Michigan and Elucid produced performance gains like an 80% reduction in visualization rendering time and an 82% accuracy improvement on a 13k-client federated setup. He contributes to open-source tooling such as rustviz, improving Rust ownership visualizations and backend automation that power educational tooling. Based in Sunnyvale with degrees from Michigan and Rice, he combines systems-level engineering (C++, Redis, HDF5) with modern ML deployment best practices to move research into production. Colleagues describe him as the kind of engineer who surfaces subtle infrastructure bottlenecks early and automates away recurring friction.
7 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Rice UniversityBachelor of Engineering - BE Major in Computer Science Minor in Mathematics, Bachelor of Engineering - BE Major in Computer Science Minor in Mathematics at University of Michigan College of EngineeringHigh School Diploma, High School Diploma at Beijing No.4 High School
Chinese, English
Github Skills (7)
visualization10
rust10
text-parsing10
parsing10
visualizations10
githubaction-workflow7
github-ci7
Programming languages (5)
Github contributions (5)
rustviz/rustviz
Jan 2021 - Jun 2022
Interactively Visualizing Ownership and Borrowing for Rust
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 4 PRs, 46 pushes in 1 year 4 months
Contributions summary:Haochen primarily focused on enhancing the Rustviz project, which involves visualizing Rust's ownership and borrowing concepts. Their contributions included implementing functionality to automatically generate header files for variable definitions, improving the markdown generation process, and fixing scope-related issues in the examples. These changes suggest a focus on expanding the tool's capabilities and refining its accuracy in representing Rust code.
ownershiprustborrowingvisualizingvisualization
rustviz/RustvizParse
Jul 2021 - Feb 2022
Contributions:26 commits, 26 pushes, 1 branch in 8 months
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