Apache Hadoop PMC Member at The Apache Software Foundation
Palo Alto, California, United States
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Summary
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Senior
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Top School
Ray Chiang is a seasoned software engineer and Apache Hadoop PMC member with 12+ years of experience building scalable, production-grade distributed systems from the low-level CAD toolchains at NVIDIA to heavyweight Big Data platforms. He specialises in back-end infrastructure, YARN and MapReduce improvements, and troubleshooting customer escalations—work that spans committing fixes upstream to Apache Hadoop and integrating features with enterprise tooling like Cloudera Manager. Ray has repeatedly grown small teams into 25+ engineers and excels when curiosity drives him to learn and apply new technologies across systems, tooling, and documentation. His background in ASIC tool automation and earlier research-to-production work at Xerox PARC gives him an unusual blend of hardware-aware tooling and large-scale software operations expertise. Based in Palo Alto, he combines open-source leadership with hands-on bug fixes and mentoring to reduce operational escalations and ship reliable subsystems.
12 years of coding experience
18 years of employment as a software developer
BS Electrical Engineering and Computer Science, BS Electrical Engineering and Computer Science at University of California, Berkeley
MS Electrical Engineering, MS Electrical Engineering at Purdue University
Contributions summary:Ray primarily contributed to the Apache Hadoop project by addressing critical issues and implementing improvements in the YARN and MapReduce components. Their work included fixing error messages, handling queue names consistently, making disk checking pluggable, and resolving script exit code issues within the NodeManager. The user also added debugging messages and corrected test cases related to FairScheduler.
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Ray Chiang - Apache Hadoop PMC Member at The Apache Software Foundation