Software Engineer at The Apache Software Foundation
Shanghai, Shanghai, China
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Chufeng Gao is a software engineer with eight years of experience building backend systems and cloud integrations, currently at Alibaba Cloud in Shanghai. He is a PMC member and active contributor to Apache DolphinScheduler, where he enhanced Python SDKs and added Zeppelin/Jupyter task plugins to modernize data orchestration workflows. Previously an SDE at Amazon and contributor to Apache Airflow’s Alibaba Cloud provider, he has strengthened test infrastructure and remote logging integrations for reliable, production-grade workflow platforms. With a CS MS background from Purdue and a BE from SJTU, he combines academic rigour and practical engineering across distributed systems, workflow orchestration, and cloud-native tooling. An interesting thread through his career is consistently improving developer experience—moving examples into source packages, refactoring tests to use mocks, and polishing plugin architectures to make complex tooling more approachable.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, 2nd year, Master of Science - MS, Computer Science, 2nd year at Purdue University
Bachelor of Engineering - BE, Information Engineering, Bachelor of Engineering - BE, Information Engineering at Shanghai Jiao Tong University
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Role in this project:
Back-end Developer
Contributions:1 release, 868 reviews, 144 commits in 11 months
Contributions summary:Chufeng primarily contributed to the `pydolphinscheduler` sub-project, focusing on Python code for examples and documentation. Their work involved moving examples into the source package, modifying documentation to reflect these changes, and adjusting test files to align with the new structure. They also added support for Zeppelin and Jupyter task plugins, introducing new features within the task plugin architecture of the project, and addressing styling improvements.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end & Test Automation Engineer
Contributions:7 reviews, 11 PRs, 45 comments in 3 years 9 months
Contributions summary:Chufeng primarily contributed to enhancing the testing infrastructure within the Apache Airflow project, specifically focusing on the Alibaba Cloud provider. Their work involved refactoring existing tests to utilize mocks, leading to more efficient and isolated unit tests. Furthermore, the user added an OSS task handler, enabling remote logging to OSS, and fixed a bug in the log key prefixing. These changes improved the project's reliability and maintainability, especially regarding logging and integrations with cloud services.
monitorpythonschedulerapacheprogrammatically
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Chufeng Gao - Software Engineer at The Apache Software Foundation