Yuqing Wang
Software Engineer at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYuqing Wang is a software engineer with eight years of experience building backend systems and scalable cloud services, currently at Microsoft after recent roles at Broadcom and VMware. He combines strong academic credentials—a MS in Computer Science from UC San Diego and dual engineering Bachelors—with hands-on expertise in Kubernetes, AWS/Azure cloud platforms, and RESTful service design. His open-source contributions to the well-known microsoft/pai project demonstrate deep familiarity with cluster scheduling, GPU resource handling, and framework launcher internals. Known for turning complex distributed-system requirements into robust implementations, he brings a practical focus on scalability and operability informed by experience across major cloud and infrastructure teams. An understated strength is his knack for simplifying scheduler and configuration complexity, helping teams deploy AI workloads more reliably.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 3.97, Bachelor's degree, Electrical and Electronics Engineering, 3.97 at University of CincinnatiUniversity of California, San DiegoBachelor's degree, Electrical and Electronics Engineering, 3.88, Bachelor's degree, Electrical and Electronics Engineering, 3.88 at Chongqing University
Github Skills (11)
javas10
zookeeper10
java10
cluster-manager9
accelerated-computing9
gpgpu9
gpu9
resource-management9
clustering9
scheduling9
cluster-api9
Programming languages (6)
Github contributions (5)
microsoft/pai
Nov 2017 - Sep 2022
Resource scheduling and cluster management for AI
Role in this project:
Back-end Developer
Back-end DeveloperContributions:210 reviews, 211 commits, 288 PRs in 4 years 10 months
Contributions summary:Yuqing's commits primarily focus on the development and refinement of the framework launcher. Their contributions involve implementing new features like version paths in the web server and supporting simple user authentication. They also refined existing code related to GPU resources and ZookeeperStore, with the addition of improved code comments. Further, they introduced support for ClusterConfiguration to assist AM scheduling and task role overrides, demonstrating a deep understanding of the system's architecture and its integration with other services.
cluster-managementmodel-trainingchainertensorflowcloud
microsoft/frameworkcontroller
Oct 2018 - Dec 2022
General-Purpose Kubernetes Pod Controller
Contributions:11 releases, 14 reviews, 62 commits in 4 years 2 months
containerscontrollercontainer-orchestrationpurposek8s
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.