Summary
Zheng Luo is a software engineer with over a decade of experience building and optimizing distributed systems, specializing in cloud databases and AI infrastructure. He spent 7+ years shaping Azure Cosmos DB internals—leading gateway service, metadata store, capacity and buildout automation projects that unlocked regional scalability, cut provisioning times by 90%, and delivered multi-million dollar COGS savings. Zheng has practical GPU and inference optimization experience from Microsoft AI work, including Kubernetes GPU error remediation, quota management, and defining organization-wide inference metrics. His background in low-latency market data systems at FactSet gives him a strong performance-first mindset across C++, Python, and large-scale production environments. Based in Redmond, he combines deep technical ownership with mentoring and cross-org security and reliability initiatives. A detail many miss: he pairs systems-level rigor with hands-on tooling to eliminate operational toil—evident in automation that turned five-day cluster buildouts into one-day operations.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Software Engineering, Bachelor of Science (BS), Software Engineering at Sichuan University
Masters of Science, Computer Science, Masters of Science, Computer Science at Washington University in St. Louis
English, Chinese