Zhaoyu Yin
Software Engineer II at Microsoft
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolZhaoyu Yin is a Software Engineer II at Microsoft with 11 years of experience building cloud-native infrastructure and backend services, currently contributing to the Copilot backend from Beijing's Haidian District. He progressed through intern and engineering roles at Microsoft, demonstrating steady ownership of production systems and feature delivery. His open-source DevOps work on the high-profile microsoft/pai project shows practical expertise in Kubernetes ConfigMaps and deployment automation for large-scale AI clusters. Comfortable bridging development and operations, he focuses on reliable, repeatable deployments that enable continuous upgrades and configuration management. Zhaoyu combines a solid computer science foundation from Harbin Institute of Technology with hands-on experience shipping infrastructure that supports AI workloads.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Harbin Institute of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
sh10
cluster-api10
kubernetes10
script10
shell10
clustering10
scripting10
kubernetes-pods10
yaml10
cluster-manager10
dockers9
cicd9
docker9
Programming languages (5)
Github contributions (5)
microsoft/pai
Jul 2018 - Nov 2018
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:1 release, 78 commits, 46 PRs in 3 months
Contributions summary:Zhaoyu primarily focused on modifying and maintaining deployment configurations within the `microsoft/pai` repository. Their work included creating and updating Kubernetes ConfigMaps for various services, and modifying startup scripts to enable features such as automatic overwriting of configurations. These changes were essential for streamlining deployments and ensuring that the platform could be upgraded and reconfigured reliably in a Kubernetes environment.
cluster-managementmodel-trainingchainertensorflowcloud
liudongqing/pai
Aug 2018 - Sep 2018
Resource scheduling and cluster management for AI
Contributions:45 commits in 13 days
schedulingcluster-managementmachine-learningkubernetescluster
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.