Luyao Zhou
@luyaozhou
I build AI inference platforms and reliable backend systems at enterprise scale.
United StatesWhat I'm looking for
At OpenAI, I architect inference and model-serving systems handling 50M+ daily requests with sub-100ms latency across distributed clusters. I also built developer tooling that reduced model deployment time by 35% through automated evaluation and versioning.
Previously at Asana, I led metering and billing pipelines processing 40M daily events and reduced discrepancies by 28% through deterministic rating. I owned an entitlements platform serving 100K+ customers and led a licensing migration from a monolith to Kubernetes microservices, increasing deployment frequency 15x.
At Microsoft, I built Azure integrations for Dynamics 365 and PowerApps, created Selenium automation that reduced regression bugs by 40%, and shortened deployments from 45 minutes to 8 minutes with Docker and Kubernetes.
I focus on AI/ML platforms, distributed systems, cloud infrastructure, developer tooling, and reliable APIs. I've mentored senior engineers on production reliability, distributed systems design, and gRPC optimization.
Experience
Work history, roles, and key accomplishments
Architected inference and model serving systems enabling 50M+ daily requests with sub-100ms latency. Owned developer tooling platform reducing model deployment time by 35% and led backend infrastructure scaling to support 99.99% uptime.
Education
Degrees, certifications, and relevant coursework
University of Virginia
Master of Science, Computer Science
2016 - 2017
Grade: 4.0
Master of Science in Computer Science with a 4.0 GPA.
Availability
Location
United StatesAuthorized to work in
Job categories
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