Yitong Feng
Software Engineer at Microsoft
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYitong Feng is a software engineer with nine years of experience building cloud-native and developer tooling at Microsoft, blending back-end, DevOps and full-stack skills. He has contributed to high-profile open-source projects such as Azure CLI extensions and the Teams Toolkit, implementing AKS trusted-access features, bot improvements, and robust test and deployment enhancements. His work on Kubernetes deployment retries, Prometheus refactoring, and AKS role bindings shows a strong operational focus on reliability and observability in distributed systems. With a solid research foundation in pattern recognition from the University of Chinese Academy of Sciences and earlier computer vision roles, he brings an uncommon combination of algorithmic rigor and production-grade engineering. Based in Haidian, Beijing, he is comfortable moving between code, infrastructure, and developer-facing features to ship resilient platform capabilities.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering, Computer Science, top 10%, Bachelor of Engineering, Computer Science, top 10% at Wuhan UniversityMaster of Engineering, Pattern Recognition and Intelligent Systems, top 10%, Master of Engineering, Pattern Recognition and Intelligent Systems, top 10% at University of Chinese Academy of Sciences
Chinese, Chinese
Github Skills (26)
kubernetes10
javascript10
docker10
python10
bots10
typescript10
kubectl10
dockers10
cicd10
azure-cli10
prometheus10
typescript-types10
kubernetes-pods10
cluster-manager10
cluster-api10
Programming languages (6)
Github contributions (5)
microsoft/pai
Jan 2018 - Nov 2018
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:59 commits in 10 months
Contributions summary:Yitong primarily focused on improving the deployment and management of the Pai project. They implemented retry mechanisms for Kubernetes deployments, specifically for kube-proxy and the dashboard, ensuring system stability. Further contributions included refactoring the Prometheus service and refining the refresh process, indicating a focus on monitoring, alerting, and overall service health within the Kubernetes environment. These changes highlight a proactive approach to maintaining and optimizing the project's infrastructure.
cluster-managementmodel-trainingchainertensorflowcloud
OfficeDev/teams-toolkit
Apr 2021 - Dec 2021
Developer tools for building Teams apps
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:179 reviews, 51 commits, 97 PRs in 8 months
Contributions summary:Yitong primarily contributed to the development of the Teams Toolkit, focusing on the bot functionalities. They removed the ask language feature from the bot plugin, and updated the code to fetch the programming language from the solution config. They also fixed issues related to the bot and message extension templates, including bugs and incorrect button text case. Furthermore, they added new command for the bot template and improved the bot's error handling.
reactmonorepodeveloper-toolsnodejstypescript
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