Ze Mao
Software Engineer at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolZe Mao is a software engineer with 8 years of experience specializing in distributed storage, performance tuning, and backend systems, currently building infrastructure at Google in the San Francisco Bay Area. Previously a senior engineer at LinkedIn and an early storage-focused contributor at Hewlett-Packard, Ze has deep hands-on expertise in store servers, blob stores, and kernel-level storage features such as clustering and thin provisioning. He has improved production systems by validating access controls, fixing metrics, and adding data prefetch to optimize retrieval performance—contributions visible in notable open-source work like Ambry. Ze combines academic rigor from an MS in Computer Engineering from USC with pragmatic system-level coding, allowing him to bridge low-level concurrency concerns and high-level distributed design. Known for quietly tackling tricky performance bugs and authorization edge cases, he brings reliability-first thinking to large-scale storage problems.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at University of Southern California
Github Skills (6)
javas10
back-end-development10
java10
authorizations8
metric8
authorization8
Programming languages (7)
Github contributions (5)
linkedin/ambry
Jan 2018 - Nov 2021
Distributed object store
Role in this project:
Back-end Developer
Back-end DeveloperContributions:270 reviews, 123 commits, 290 PRs in 3 years 10 months
Contributions summary:Ze contributed to the backend of the "ambry" repository, focusing on store server and blob store functionalities. Their work involved validating account and container IDs for GET and DELETE requests, incorporating authorization checks, and implementing the necessary methods within the StoreKey interface. They also worked on addressing metric bugs for get/put processing time and introducing support for data prefetch, which optimizes data retrieval performance.
osgidistributed-systemsobject-storedistributed-object-storejava
zzmao/ambry
Dec 2017 - Nov 2021
Distributed object store
Contributions:641 pushes, 149 branches, 1 comment in 4 years
distributed-systemsobject-storedistributed-object-storedistributed
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