Zeyi Fan is a pragmatic software engineer with 14 years of experience building scalable infrastructure, developer tools, and cross-platform systems, currently working on agent platforms at Databricks. He spent several years at Meta architecting CI systems, real-time Rust-based inference for internal LLM products, and an end-to-end GPT stack that powers Metamate for in-browser AI workflows. He excels at cross-platform build and CI automation—his open-source contributions touch many high-profile Facebook projects like Watchman, fboss, hhvm, and folly, frequently fixing Windows encoding issues and making CI more reliable...
His language toolkit centers on Rust, C++, and Python, and he often bridges them with pragmatic FFI and build-system work that yields measurable developer productivity gains. Colleagues rely on him to tame flaky tests, modernize GitHub Actions, and make large codebases build and test cleanly across macOS, Windows, and Linux...
Beyond code, he combines systems-level thinking with product sensibility—turning low-level reliability fixes into features that accelerate engineering velocity at scale.
14 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) , Computer Science, Bachelor of Science (B.S.) , Computer Science at San José State University
Wangle is a framework providing a set of common client/server abstractions for building services in a consistent, modular, and composable way.
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:36 commits, 1 PR, 1 issue in 6 years 9 months
Contributions summary:Zeyi primarily focused on enhancing and maintaining the build and testing infrastructure for the `wangle` repository. Their contributions involved fixing encoding issues in the build process on Windows, improving the `getdeps` build system, and integrating GitHub Actions for CI/CD. The user also implemented features like retrying failed tests and ensuring the correct handling of test results. Additionally, they addressed platform-specific configurations, particularly concerning Python and Boost builds.
Contributions:2 reviews, 432 commits, 4 PRs in 4 years 8 months
Contributions summary:Zeyi primarily worked on the back-end of the source control system. They focused on improving the underlying file storage mechanisms. Their contributions included disabling functionalities that were causing corrupted file content, making modifications to move and copy a proxy hash, and refactoring the codebase to improve readability. The user also made improvements to permission settings.
control-systemscalablesource-controluser-friendly
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