Richard Wareing is a Production Engineer with 12 years of experience in scaling and optimizing distributed storage and machine learning infrastructure, based in San Jose. At Meta he leads cross-organizational projects to harden exabyte-scale storage—applying techniques like metadata bifurcation, data tiering, and multi-tenancy—while mentoring new engineers and shaping operational practices. He focuses on automating, debugging, and performance-tuning storage systems and recently has concentrated on data ingestion and training hardware validation for ML workloads. An active contributor to GlusterFS, he has deep systems-level expertise demonstrated by fixes and features that improve reliability and diagnostics (e.g., JSON FOP stats and FOP sampling). Collected engineering instincts, a bottoms-up iterative approach, and a Computer Engineering degree from the University of Manitoba underpin his practical, infrastructure-first problem solving.
12 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of Manitoba
Gluster Filesystem : Build your distributed storage in minutes
Role in this project:
Back-end Developer
Contributions:79 commits in 2 years 8 months
Contributions summary:Richard primarily contributed to the GlusterFS file system by implementing and fixing bugs in the core functionalities. Their work includes adding features like JSON FOP statistics dumps and a FOP sampling feature for debugging and performance analysis. They also addressed critical issues such as fixing crashes and memory errors. The user’s contributions show a deep understanding of the system’s internals and focus on improving reliability and performance.
(x)fstests is a filesystem testing suite (mirror of kernel.org repository, synced daily)
Contributions:4 commits in 3 months
kerneltestingtesting-suitefilesystemsuite
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