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.
10 years of coding experience