Yuze Liao is a software engineer with a decade of experience building high-performance distributed systems and infrastructure for data-heavy services, currently a Member of Technical Staff at OpenAI after roles at AWS, OtterTune, and LinkedIn. He specializes in database systems and pipeline automation—at OtterTune he helped automate DB tuning for cost and speed gains, and at LinkedIn he worked on caching and offline consistency tooling for Espresso. His research background spans scalable ML and fast ensemble training (co-author of a MLSys paper) and high-performance ML frameworks from his undergrad, reflecting a strong systems+ML cross-discipline. Comfortable across the stack, he has shipped production services at cloud scale (AWS S3 Glacier/Shield) and built production-grade data pipelines and patching systems. Based in San Francisco, he brings a blend of academic rigor from CMU and PKU plus pragmatic engineering that focuses on measurable performance and cost improvements.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Peking University
Master of Science - MS Computer Science (MSCS), Master of Science - MS Computer Science (MSCS) at Carnegie Mellon University
Contributions:10 reviews, 16 PRs, 9 pushes in 2 years 1 month
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