Yitong Feng
Data Management Analyst
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYitong Feng is a Data Management Analyst with 11 years of experience, currently based in New York and working at the University of Florida. With a strong academic foundation in bioengineering and biostatistics (Columbia University) and top grades from an exchange program at University of Missouri, Yitong blends quantitative rigor with practical data workflows in research settings. She has hands-on experience in infrastructure automation and monitoring—contributing Grafana deployment and dashboard work to Microsoft’s prominent PAI project—highlighting an ability to bridge data operations and system observability. Her background in experimental lab work and teaching statistics to diverse learners gives her a rare combination of domain knowledge, communication skills, and technical discipline.
11 years of coding experience
1 year of employment as a software developer
Master’s Degree, Biostatistics in Pharmaceutical Statistics track, Master’s Degree, Biostatistics in Pharmaceutical Statistics track at Columbia University in the City of New YorkBachelor of Engineering (B.E.), Bioengineering, 3.6/4.0, Bachelor of Engineering (B.E.), Bioengineering, 3.6/4.0 at East China University of Science and TechnologyUniversity of Missouri
English, Chinese
Stackoverflow
263reputation
3.4mreached
11answers
2questions
Github Skills (23)
kubernetes10
docker10
scripting10
grafana10
dockers10
script10
gpu10
kubernetes-pods10
sh10
shell10
cicd9
cluster-manager9
clustering9
cluster-api9
django-middleware6
Programming languages (6)
Github contributions (5)
microsoft/pai
Dec 2017 - May 2018
Resource scheduling and cluster management for AI
Role in this project:
DevOps Engineer
DevOps EngineerContributions:71 commits, 109 PRs, 235 pushes in 5 months
Contributions summary:Yitong primarily contributed to setting up and configuring Grafana dashboards and related infrastructure within the repository. They added Grafana deployment configurations, including shell scripts for configuration, data source setup, and dashboard import. The commits demonstrate efforts to configure Grafana for monitoring GPU utilization and other system metrics, suggesting a focus on infrastructure automation and monitoring. They also updated the web portal to show data in service view and fix link bugs.
cluster-managementmodel-trainingchainertensorflowcloud
YitongFeng/pai
May 2018 - May 2018
Resource scheduling and cluster management for AI
Contributions:18 pushes, 15 branches in 18 days
schedulingcluster-managementmachine-learningkubernetescluster
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