Yu Gan
Research Engineer at Google
United States
Summary
👤
Senior🎓
Top SchoolYu Gan is a research engineer at Google AI and System Research with nine years of experience building and evaluating cloud-native and scalable systems. He holds a PhD in Computer Engineering from Cornell and brings a research-first mindset to production problems, with prior engineering roles at Alibaba Cloud and multiple internships at Google. His open-source contributions include backend work on the well-known DeathStarBench microservices benchmark, where he improved Lua/Thrift service logic for clearer return types and maintainability. Comfortable bridging rigorous academic research and pragmatic engineering, he focuses on backend service implementations and performance-aware system design. Based in the United States, he combines deep technical breadth from top-tier academic training with hands-on experience shipping real-world cloud services.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Cornell UniversityBachelor of Engineering (B.Eng.) Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering at Tsinghua UniversityUNSW Sydney
Chinese, English
Github Skills (5)
lua10
microservices-application10
microservices10
thrift10
openresty9
Programming languages (6)
Github contributions (5)
delimitrou/DeathStarBench
Aug 2019 - Sep 2021
Open-source benchmark suite for cloud microservices
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 commits, 10 PRs, 7 pushes in 2 years 1 month
Contributions summary:Yu's commits primarily involve modifying Lua scripts related to Thrift, a framework for developing scalable services. These changes focus on altering return types within the Lua scripts for improved readability. The user also updated Lua code within the project's media microservices setup. This work suggests a focus on the backend logic and service implementations within the DeathstarBench project.
benchmark-suitebenchmarkkubernetesmicroservicessuite
gy1005/starter-academic
Dec 2020 - Feb 2022
🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify
Contributions:13 pushes in 1 year 2 months
hugoforestryeducational-websitenetlifyhugo-theme
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