Dong Ye
Software Development Engineer II at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDong Ye is a Software Development Engineer II in Redmond with 11 years of experience building high-performance backend services and distributed systems, currently contributing to Microsoft's COSMOS storage team. He combines 3+ years of backend web service development with deep expertise in parallel computing, Hadoop ecosystem tooling, and storage technologies like Cassandra and Lucene. His background in applied mathematics and doctoral-level work in optimization and algebraic graph theory informs efficient algorithm design and scalable system architectures. Dong has delivered significant performance wins—such as GPU-accelerated NNLS with 20x speedups—and contributed to notable open-source infrastructure like Microsoft PAI by automating Hadoop and Kubernetes deployments. Quietly pragmatic and detail-oriented, he bridges research-grade numerical methods with production-grade DevOps and backend engineering.
11 years of coding experience
5 years of employment as a software developer
Master of Applied Mathematics, Master of Applied Mathematics at University of Illinois at Urbana and ChampaignUniversity of Illinois Urbana-ChampaignMaster of Computer Science, Master of Computer Science at University of Illinois.at Urbana and Champaign
English, Chinese
Github Skills (15)
sh10
kubernetes10
bash10
docker10
script10
shell10
devops10
dockers10
scripting10
kubernetes-pods10
hadoop9
yaml9
automation9
automations9
infrastructure-as-code9
Programming languages (6)
Github contributions (5)
microsoft/pai
Nov 2017 - Jul 2020
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:3 reviews, 590 commits, 859 PRs in 2 years 8 months
Contributions summary:Dong primarily focused on the deployment and configuration of the project, with a strong emphasis on infrastructure-related tasks. They worked on modifying scripts and configurations related to the Hadoop ecosystem, like scripts to get IP addresses and configure Hadoop. They also implemented scripts for creating and managing Kubernetes configmaps and secrets, including the implementation of automated installation of Docker.
cluster-managementmodel-trainingchainertensorflowcloud
AldonahZero/pai
May 2019 - Nov 2019
Resource scheduling and cluster management for AI
Contributions:168 commits in 6 months
schedulingcluster-managementmachine-learningkubernetescluster
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