Summary
Georgios Sarantitis is a Senior Artificial Intelligence Model Developer and PhD-trained graph theorist with over a decade of research and applied experience building end-to-end ML and GenAI solutions across banking, telecoms and manufacturing. He leads small agile teams at UBS, combining hands-on model development, MLOps and explainable AI to deliver compliance-focused systems like transaction monitoring, trade surveillance and AML modeling. His background blends academic rigor—Horizon 2020 and Thales research participation plus a Bank of England internship applying network analysis to inflation—with practical production work such as chatbot and churn solutions for telecoms. Known for strong expertise in graphs, predictive modelling, NLP and model governance, he also publishes a machine-learning blog and runs AI-driven football-prediction experiments, reflecting a rare mix of formal research and creative applied projects.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Data Science, Graph Theory, Economics, Doctor of Philosophy (Ph.D.), Data Science, Graph Theory, Economics at Democritus University of Thrace - (D.U.Th.)
Deep Learning Nanodegree, Neural Networks/Deep Learning, Deep Learning Nanodegree, Neural Networks/Deep Learning at Udacity
Greek, English, German, r, matlab, python