Today we’re talking about MLOps - with our guide Georgios Symeonidis and we’ll be orienting around a recent paper he published titled “MLOps - Definitions, Tools and Challenges”.
Georgios studied electrical and computer engineering at Democritus University of Thrace at Xanthi, in Greece. He specialized in information and electronics.
He’s also worked as a research engineer at Athena Research and Innovation Center - studying ML systems in production. For his PhD, he’s researching Reliable Machine Learning pipelines for mature MLOps systems at International Hellenic University in Greece.
