Pavel Dournov
Pavel is an engineering manager in Google Cloud AI Platform, working on AI infrastructure services specialized in deploying and scaling AI workloads on Google Cloud.
Prior to Google Pavel helped build Azure Machine Learning services for model training, serving, and managing; was a founding member of the Azure Cloud Computing Platform and worked on orchestration and resource optimization at cloud scale, and built performance analysis and architecture optimization tools for stateful distributed applications.
Pavel earned a PhD in information and control systems, and a master in industrial automation. Pavel holds 24 patents in the area of system performance modeling, architecture optimization, and distributed systems control.
Prior to Google Pavel helped build Azure Machine Learning services for model training, serving, and managing; was a founding member of the Azure Cloud Computing Platform and worked on orchestration and resource optimization at cloud scale, and built performance analysis and architecture optimization tools for stateful distributed applications.
Pavel earned a PhD in information and control systems, and a master in industrial automation. Pavel holds 24 patents in the area of system performance modeling, architecture optimization, and distributed systems control.
Authored Publications
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Google
Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)
Abhijit Karmarkar
Ahmet Altay
Aleksandr Zaks
Anusha Ramesh
Jarek Wilkiewicz
Jiri Simsa
Justin Hong
Mitch Trott
Neoklis Polyzotis
Noé Lutz
Robert Crowe
Sarah Sirajuddin
Zhitao Li
(2020)
