Wei-chiu Chuang is a Principal Software Engineer at Cloudera with 11 years of experience building resilient, large-scale data lakehouse infrastructure and deep expertise in distributed storage systems. As an Apache member and long-time committer across Hadoop, HBase, and Ozone, he focuses on stability, security, and performance—fixing WAL recovery bugs, hardening backup/export security, and improving checksum and block management logic. He chaired the Apache Hadoop PMC, bridging community governance with technical direction, and has a PhD from Purdue where he led systems research that achieved a 20x performance improvement. Comfortable in both research and production, Wei-chiu’s work combines low-level HDFS/HBase internals with pragmatic engineering to keep petabyte-scale data platforms running reliably.
11 years of coding experience
3 years of employment as a software developer
B.S. Computer Science, B.S. Computer Science at National Chiao Tung University
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Purdue University
Contributions:447 reviews, 609 commits, 345 PRs in 6 years 3 months
Contributions summary:Wei-chiu contributed to Apache Hadoop, specifically focusing on enhancing and maintaining HDFS command-line tools, particularly the `dfsadmin` tool. Their work involved updating the help documentation and HdfsQuotaAdminGuide. Additionally, they worked on DiskBalancer functionalities that deal with disk capacity management. The user also implemented improvements in logging for various components of the system.
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Back-end Developer
Contributions:1 release, 814 reviews, 24 commits in 2 years 11 months
Contributions summary:Wei-chiu contributed to the Apache Ozone project by implementing bug fixes and improvements to core backend components. Their work involved updating dependencies, such as the Guava library, and refining error logging for clarity. Additionally, the user made changes to the block management and checksum computation logic, including closing chunk input streams and computing file checksums using chunk checksums from DataNodes. These changes suggest a focus on the storage and data management aspects of the project.
scalableredundantapachebig-dataspark
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Wei-chiu Chuang - Software Engineer at Cloudera Inc.