Yaxiong Zhao is a seasoned Member of Technical Staff based in Menlo Park with 13 years of experience building reliable, scalable backend systems. He focuses on distributed computation and test automation, contributing robust unit tests and tooling to notable open-source projects like the Go-based Glow map-reduce system. Known as a lifelong tinkerer, he blends deep hands-on engineering with a data+compute mindset to turn complex problems into maintainable code. He brings particular strength in low-level utilities—byte handling, network utilities, and concurrency primitives—that quietly improve system reliability at scale.
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
Role in this project:
Backend Developer & Test Automation Engineer
Contributions:45 commits, 48 PRs, 28 pushes in 4 months
Contributions summary:Yaxiong primarily contributed to the development and testing of the Glow distributed computation system. They added numerous unit tests for core utility functions, demonstrating a focus on code quality and reliability. Their work included testing functionalities related to byte manipulation, network utilities, channel operations, and data encoding/decoding. Furthermore, the user improved the testing framework by adding test scripts and refactoring existing tests.
Programming puzzles, currently most are from interviews
Contributions:59 commits, 36 pushes, 2 branches in 6 years 11 months
puzzlesjavascriptprogramming-puzzles
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.