Konstantinos is a Principal Scientist Lead at Microsoft’s Gray Systems Lab (GSL), Azure Data’s applied research group. He is manager at the Bay Area branch of GSL and tech lead for systems-for-ML efforts in the group. His current focus is mainly on execution and optimization of advanced analytics queries that include both data and ML operations.
Konstantinos’ work at Microsoft previously focused on resource management for the company’s production analytics clusters. This work has been deployed to over 300k machines across Microsoft and was key to enable the company to operate the world’s largest YARN clusters. He has also contributed big part of his work at Microsoft to open source projects: he is a committer and member of the Project Management Committee (PMC) of Apache Hadoop, and a contributor to ONNX Runtime.
Before joining Microsoft, he was a postdoctoral researcher at IBM Almaden Research Center, working on query optimization for large-scale data platforms. Konstantinos holds a PhD from Inria and the University Paris-Sud, France, where he worked with Ioana Manolescu and François Goasdoué. Prior to that, he received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, where he worked with Timos Sellis.