Yunshan Zhu
Staff Software Engineer, Machine Learning at Airbnb
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYunshan Zhu is a Staff Software Engineer specializing in machine learning with a decade of experience building scalable ML and cloud systems at Airbnb, Microsoft, and Amazon. He blends production ML expertise with backend engineering—having worked on Azure Machine Learning, Microsoft Machine Learning Server, AWS AutoScaling, and search-related feature extraction—so he understands both model development and the infrastructure that serves it. Based in Seattle, he drives reliability and quality, demonstrated by contributions to the Sanic web framework where he improved request handling, error flows, and test coverage. Known for a pragmatic "get shit done" approach, he pairs hands-on coding and QA rigor with mentorship and architecture-level thinking. Trained at USC and Beijing University of Post and Telecommunications, he excels at turning research-grade models into production-ready systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Computer Science and Technology, Bachelor of Science, Computer Science and Technology at Beijing University of Post and TelecommunicationsMaster, Computer Science, Master, Computer Science at USC
Chinese, English, Chinese
Github Skills (11)
asynchronous10
unit-testing10
pytest10
unit-test10
python10
async10
asyncio10
api-server9
webserver9
web-content8
webpages8
Programming languages (6)
Github contributions (5)
sanic-org/sanic
Jun 2017 - Nov 2020
Accelerate your web app development | Build fast. Run fast.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:6 releases, 8 reviews, 245 commits in 3 years 5 months
Contributions summary:Yunshan contributed to the Sanic web framework by adding and enhancing core features. They added a content_type property to the request object and implemented unit tests to validate the functionality of requests. Furthermore, they addressed potential errors in the router and incorporated exception handling improvements. Additionally, the user made code style fixes and optimized existing tests, indicating involvement in both feature development and quality assurance.
next-generationasgipythonweb-serverasyncio
yunstanford/MyGraphite
Sep 2016 - Jan 2017
Contributions:58 commits, 6 PRs, 19 pushes in 3 months
dependenciespythoninstallingpackaginggraphite-components
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