Pavel Dournov
Principal Engineer at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPavel Dournov is a Principal Engineer in Seattle with over two decades of experience building and scaling cloud and AI infrastructure, currently leading engineering for Core AI Infrastructure at Google. He has driven foundational platforms from the Fabric Controller that bootstrapped Azure to the multi-tenant, serverless AzureML that helped define modern MLOps, and now architects large-scale GPU clusters and resiliency/performance tooling for production ML. A proven builder of high-caliber, customer-focused engineering organizations, he combines formal performance and capacity modeling with hands-on systems design to deliver highly available, disaster-tolerant services. He holds a Ph.D. in computer science and has patented goal-state orchestration ideas that influenced contemporary cloud orchestration. Notably, his career blends deep research-level modeling and optimization with pragmatic product delivery at hyperscale, enabling 1000x growth in cloud compute during his tenure.
11 years of coding experience
15 years of employment as a software developer
Ph.D. Computer Science (information and control systems), Ph.D. Computer Science (information and control systems) at Vologda State Technical University
Github Skills (41)
notebook10
kubernetes10
jupyter10
data-science10
kubeflow10
tekton10
machine-learning10
kedro10
pipeline10
kubeflow-pipelines10
experiences9
google-cloud-platform9
deploying9
google-kubernetes-engine9
gcp9
Programming languages (9)
Github contributions (5)
paveldournov/RRSWarmer
Feb 2015 - Feb 2016
Automatic service warm up for AzureML Web Service API
Contributions:1 review, 18 commits, 1 PR in 1 year
paveldournov/awesome
Sep 2018 - Apr 2020
Contributions:6 pushes in 1 year 7 months
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