Chia-ping Tsai
Apache Yunikorn PMC Member at opensource4you
Taiwan
Summary
🤩
Rockstar🎓
Top SchoolChia-ping Tsai is an experienced distributed-systems engineer and open-source leader with 11 years of software engineering practice and deep involvement in Apache projects such as YuniKorn, Kafka, and HBase. As a PMC member and committer across multiple Apache foundations, he focuses on backend systems, REST APIs, queue management, and improving observability and tests in production-grade projects. He mentors contributors through Taiwan’s opensource4you community, having reviewed thousands of commits and helped mentees contribute over a thousand commits himself. With advanced academic training (Master’s and PhD) from Taiwan’s top universities, he combines rigorous research thinking with practical system-building, and his GitHub motto—“code is the pure beauty”—reflects a pragmatic yet elegant engineering style.
11 years of coding experience
3 years of employment as a software developer
碩士, 碩士 at 國立中山大學博士, 博士 at 國立成功大學
Github Skills (13)
javas10
api-rest10
rest-api10
apache-kafka10
go10
api-design10
restful-api10
java10
kubernetes-pods9
testing9
go-testing9
kubernetes9
documentation8
Programming languages (13)
Github contributions (5)
apache/kafka
Mar 2018 - Jan 2023
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5832 reviews, 213 commits, 1723 PRs in 4 years 10 months
Contributions summary:Chia-ping made several minor changes to the Apache Kafka project, including fixing typos, improving documentation, and optimizing code. They addressed a documentation error in the Connect component and corrected a potential exception in the code. The user also implemented code changes to improve the efficiency and correctness of the code.
apache-kafkakafka-consumerapachescalakafka
apache/yunikorn-core
Aug 2021 - Mar 2022
Apache YuniKorn Core
Role in this project:Back-end Developer
Back-end DeveloperContributions:274 reviews, 23 commits, 75 PRs in 7 months
Contributions summary:Chia-ping primarily contributed to the backend functionality of the YuniKorn-core project, as evidenced by the changes related to queue properties, REST APIs, and the internal metrics collector. They implemented features to enhance the queue information returned by REST APIs and addressed issues related to queue applications and the overall state of the system. The user also refactored and improved the testing processes within the project.
universal-resource-scheduleryunikornapacheapache-yarnkubernetes
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