Xun Yin is a Staff Software Engineer in the San Francisco Bay Area with 12 years of experience building AI infrastructure, distributed systems, and stream processing at LinkedIn. He has progressed through engineering roles at LinkedIn since 2018, contributing to high-scale backend projects such as the Ambry distributed object store where he optimized stats gathering, added bucketing for BlobStoreStats, and improved journal bootstrap for data integrity. Comfortable across system design, performance tuning, and production reliability, he brings hands-on expertise in making large distributed services observable and efficient. His background includes internships in finance and enterprise software, and a Computer Engineering degree from the University of Waterloo, reflecting a strong foundation in both systems engineering and practical tooling.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Engineering, Bachelor of Applied Science (B.A.Sc.) Computer Engineering at University of Waterloo
Contributions:12 commits, 17 PRs, 1 push in 1 year 6 months
Contributions summary:Xun primarily focused on enhancing the performance and features of the Ambry object store. Their contributions include implementing statistics gathering mechanisms, such as those related to blob and quota data. They also worked on optimizing the system through the introduction of bucketing for BlobStoreStats. Additionally, the user modified the journal to accommodate bootstrap functionality, ensuring data integrity during initial setup.
Venice, Derived Data Platform for planet-scale workloads.
Contributions:248 pushes, 97 branches, 1 comment in 2 years 6 months
planetderived-dataworkloadsvenicederived
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