Fan Yang
CSAM at Microsoft
Jiangsu, China
Summary
🤩
Rockstar🎓
Top SchoolFan Yang is a full-stack software engineer with 8 years' experience blending AI-focused computer science training and practical cloud-native delivery across companies like Microsoft, Huawei and Grow Asset Finance. Based in Sydney and originally from Jiangsu, he builds and secures web applications end-to-end—front-end React/Angular and responsive UI, Node.js back-ends, MySQL databases, containerized deployments and serverless on Azure/AWS—while also guiding outsourced teams and running CI/CD and Agile processes. At Microsoft he contributed DevOps work to the high-profile microsoft/pai cluster-management project, improving deployment scripts and container lifecycle handling for AI workloads. Comfortable as both a hands-on coder and a technical lead, he also performs vulnerability assessments, architects medium-complex solutions and mentors junior engineers. Outside work he channels discipline from a decade of competitive basketball into collaborative team leadership and a daily mix of coding and music.
8 years of coding experience
3 years of employment as a software developer
STEM, Science Stream, STEM, Science Stream at Anglo-Chinese School (Independent)Bachelor of Science - BS, Computer Science(AI), Bachelor of Science - BS, Computer Science(AI) at 澳大利亚新南威尔士大学
English, Chinese
Stackoverflow
29reputation
349reached
4answers
0questions
Github Skills (18)
docker10
scripting10
dockers10
script10
sh10
shell10
hadoop9
kubernetes9
kubernetes-pods9
cluster-api8
clustering8
cluster-manager8
cicd8
resource-management7
scheduling7
Programming languages (7)
Github contributions (5)
microsoft/pai
Nov 2017 - Apr 2020
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:4 reviews, 139 commits, 90 PRs in 2 years 4 months
Contributions summary:Fan's contributions center on the deployment and configuration aspects of the project. They modified deployment scripts, specifically focusing on Hadoop configuration and service deployment. Furthermore, the user's commits reflect updates to the application master's logic with specific focus on stopping, restarting, and container management within the framework. They also streamlined merge conflicts within the codebase.
cluster-managementmodel-trainingchainertensorflowcloud
fanyangCS/fanyangcs.github.io
Mar 2024 - Aug 2024
Contributions:21 PRs, 67 pushes, 8 branches in 5 months
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