Dian Wang
Principal Software Engineer at Microsoft
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolDian Wang is a Principal Software Engineer based in Beijing with 7 years of experience building full-stack mobile and AI infrastructure, currently shaping Microsoft’s AI training platform. He blends systems-level DevOps expertise—contributing to high-profile projects like Microsoft PAI by automating containerized builds, deployments, and storage plugins—with a deep background in game and mobile development (leading studios that shipped multi-million-install titles). A polyglot engineer fluent in Java, Objective-C and C++, Dian has led teams as an R&D Director and co-founded a game studio, consistently moving from prototype to global release. His academic foundation from the Graduate University of the Chinese Academy of Sciences complements a pragmatic focus on scalable, production-grade systems. Notably, he bridges product and platform work: shipping consumer-facing games and also improving cluster management for large-scale AI workloads.
7 years of coding experience
11 years of employment as a software developer
Bachelor Automation, Bachelor Automation at University of Science and Technology of ChinaMaster Computer software, Master Computer software at Graduate University of Chinese Academy of Sciences
Github Skills (12)
sh10
kubernetes10
script10
infrastructure10
cloud-infrastructure10
docker10
shell10
dockers10
scripting10
kubernetes-pods10
cicd9
python6
Programming languages (6)
Github contributions (5)
microsoft/pai
Feb 2019 - Nov 2019
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:49 commits, 115 PRs, 290 pushes in 9 months
Contributions summary:Dian primarily contributed to the deployment and management of the project's infrastructure, specifically focusing on automating containerized builds, deployments, and related configurations. Their work involved modifying Dockerfiles, shell scripts and configuration files to ensure the smooth operation and stability of the system. They also implemented a storage management plugin, including command-line tools, and made updates for the webportal related to logs.
cluster-managementmodel-trainingchainertensorflowcloud
AldonahZero/pai
May 2019 - Nov 2019
Resource scheduling and cluster management for AI
Contributions:180 commits in 6 months
schedulingcluster-managementmachine-learningkubernetescluster
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