Chen Sun
Tech Lead Manager at Google
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChen Sun is a Tech Lead Manager at Google with seven years of professional experience building cloud AI and backend systems, having progressed from software engineer roles across Cloud SQL, Cloud AI, and prior backend work at Microsoft. He blends hands-on backend engineering—contributing to prominent open-source projects like Kubeflow Pipelines, improving gRPC performance and API integrations—with technical writing that demystifies ML pipelines for users. Comfortable shipping production services and documentation, he also launched RealtorCheck.com, demonstrating product-builder instincts beyond pure engineering. Based in Kirkland, WA, Chen pairs deep systems knowledge with a knack for translating complex APIs into practical developer workflows.
7 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at New Mexico Institute of Mining and TechnologyMaster's program (dropped out), Computer Science, Master's program (dropped out), Computer Science at Soochow University (CN)
Chinese, English
Stackoverflow
56reputation
5kreached
9answers
0questions
Github Skills (17)
python10
apidoc10
go10
api10
kubeflow-pipelines10
documentation10
api-design9
grpc9
jupyter-notebook9
docker8
containerization8
container8
google-cloud-ml6
argo-workflows6
kfp6
Programming languages (12)
Github contributions (5)
kubeflow/pipelines
Feb 2020 - Jan 2023
Machine Learning Pipelines for Kubeflow
Role in this project:
Backend Engineer
Backend EngineerContributions:34 releases, 1777 reviews, 377 commits in 2 years 11 months
Contributions summary:Chen primarily contributed to the backend implementation of the Kubeflow Pipelines project, focusing on improving gRPC options, refactoring proxy type deduction, and fixing API generation scripts, while also adding support for handling environment variables in a container. These changes involved modifications to the backend server code, including main.go, and Python SDK modules, suggesting a focus on API performance and functionality. Additionally, the user worked on improving the API and contributing to the Google Cloud AI Platform integration, specifically addressing issues related to pipeline execution.
pipelinetektondata-sciencemachine-learningmlops
kubeflow/website
Dec 2020 - Nov 2022
Kubeflow Website
Role in this project:Technical Writer
Technical WriterContributions:148 reviews, 19 commits, 31 PRs in 1 year 10 months
Contributions summary:Chen's primary contributions involve updating the Kubeflow website, specifically the documentation related to Kubeflow Pipelines. The commits demonstrate version bumps, directly updating the pipeline versions displayed on the website. Furthermore, they added a tutorial in the form of a Jupyter Notebook describing the process of building a pipeline, providing users with guidance and code examples. These changes suggest a focus on improving the website's content and user experience, which aligns with the role of a technical writer.
kubeflowkubernetes
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