Chia-chuan Yu
Software Engineer at Rakuten
Tokyo, Singapore
Summary
🤩
Rockstar🎓
Top SchoolChia-chuan Yu is a software engineer with six years of experience building high-performance, cloud-native backend systems and scalable microservices, currently contributing to Apache Ozone and active in the Apache Kafka project. Based in Tokyo and holding an MS in Information Technology from National Chiao Tung University, he has driven production deployments on GCP, automated infrastructure with Terraform, and managed Kubernetes services to improve reliability and availability. His prior roles include leading microservices architecture and backend optimization efforts that reduced API latency and automated CI data pipelines. A pragmatic contributor to open source, he focuses on maintainability—bug fixes, test improvements, and modernization—helping keep widely used projects like Kafka robust for enterprise use.
6 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at National Chiao Tung University
Chinese, English, Japanese
Github Skills (9)
javas10
code-optimization10
kafka10
java10
scala9
unit-testing9
api8
documentation8
apidoc8
Programming languages (3)
Github contributions (5)
apache/kafka
Jan 2024 - Dec 2024
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 reviews, 40 PRs, 63 comments in 10 months
Contributions summary:Chia-chuan primarily contributes to bug fixes and minor improvements within the Apache Kafka project. Their work involves addressing coding issues such as removing unnecessary spaces, correcting null pointer exceptions, and replacing deprecated functions. Furthermore, they have been involved in replacing older code, like replacing Utils.join() with a JDK API. In addition, the user has contributed to test cases and documentation updates, ensuring the codebase is maintained and up-to-date.
apache-kafkakafka-consumerapachescalakafka
chiacyu/ozone
Dec 2024 - Apr 2025
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Contributions:168 pushes, 44 branches in 3 months
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