Zhankun Tang
Apache Member at The Apache Software Foundation
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolZhankun Tang is an experienced open-source software engineer and Apache Member with 11 years in backend, DevOps, and automation focused on Big Data, Cloud, and AI. As a Hadoop & Submarine committer and PMC member, he has implemented TonY runtime integrations and strengthened CI/CD pipelines for the cloud-native Submarine ML platform within the Apache ecosystem. He combines hands-on development of resource-management, environment setup, and test utilities with scripting that automates releases and site updates, improving developer workflows and reliability. Based in Minhang District, Shanghai, he brings a solid academic foundation in computer science and software engineering and a track record of shipping production-ready infrastructure. Not obvious from the title: his work ties low-level runtime orchestration into higher-level ML platform automation, bridging systems engineering and data-science tooling.
11 years of coding experience
BS, Computer Science, BS, Computer Science at Communication University of China
Github Skills (21)
docker10
apache-hadoop10
bash10
dockers10
cicd10
java10
javas10
automation10
yarn310
yarnpkg10
yarn-berry10
yarn210
automations10
github-ci9
python9
Programming languages (8)
Github contributions (5)
apache/submarine
Jul 2019 - Nov 2020
Submarine is Cloud Native Machine Learning Platform.
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:5 reviews, 22 commits, 23 PRs in 1 year 4 months
Contributions summary:Zhankun primarily focused on enhancing the CI/CD pipeline and build processes for the Submarine project. Their contributions included creating and refining scripts for building and starting the CI/CD image, including the use of virtual environments for Python. The user also implemented functionality to update the Submarine website within the CICD environment and added scripts to automate release processes, demonstrating a focus on streamlining development workflows. They also addressed dependencies and other image related issues, which improved ease of use of the tools.
machine-learning-platformlearning-platformdeep-learningnotebookdocker
apache/hadoop
Apr 2019 - Jan 2020
Apache Hadoop
Role in this project:Back-end Developer
Back-end DeveloperContributions:45 commits, 4 PRs, 4 pushes in 9 months
Contributions summary:Zhankun contributed to the Submarine project, specifically focusing on integrating the TonY runtime. This involved developing utilities, configurations, and test cases for the TonY runtime within the Submarine framework. The changes included adding functionalities for resource management, environment setup, and command execution related to the TonY runtime. The user's work is centered on enabling and testing the TonY runtime within the larger Hadoop ecosystem, enhancing its capabilities.
apachebig-datasparkhadoopjava
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