Liang Tian is a Senior Software Engineer in Los Angeles with 11 years of experience building and scaling distributed systems for high-growth products, currently focused on data scalability at Netflix. He has a strong backend focus—contributing to Netflix/genie’s orchestration platform by enhancing data models, database schemas, and testability—and a history of operating at video scale from roles at Twitch and Lino Network. Liang helped drive 100x growth–stage services at CloudKitchens and brings pragmatic engineering discipline from early mechanical and test-engineering roles, giving him a rare blend of systems thinking and hardware-rooted rigor. He holds advanced engineering degrees from Rochester Institute of Technology and Carnegie Mellon, and often codes in Go and Python while improving observability and reliability in production systems.
11 years of coding experience
8 years of employment as a software developer
Master of Engineering, Mechanical Engineering, 3.67, Master of Engineering, Mechanical Engineering, 3.67 at Rochester Institute of Technology
Bachelor of Engineering, Mechanical Engineering, 83, Bachelor of Engineering, Mechanical Engineering, 83 at University of Shanghai for Science and Technology
Affiliated High School of South China Normal University
Master's Degree, Master of Science for Information Technology - eBusiness Technology, 3.88/4.00, Master's Degree, Master of Science for Information Technology - eBusiness Technology, 3.88/4.00 at Carnegie Mellon University
Contributions:2 releases, 7 reviews, 9 commits in 2 months
Contributions summary:Liang primarily contributed to the back-end of the Genie platform, focusing on data model enhancements and system improvements. Their work included the addition of new data models for container constraints within the Titus batch job request, updating database schemas, and converting between integer and long values for memory-related fields. Additionally, the user implemented unit tests and improved logging for debugging dependency downloads.
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