Summary
Theofanis Aslanidis is a data scientist with nine years of experience, currently building payment-related ML products at Uber and pursuing an AI master’s thesis at the University of Amsterdam on leveraging background knowledge for causal discovery. He has a strong track record shipping production-grade systems—most notably an emissions estimation pipeline that tracks 50K+ vessels with DNV-verified accuracy and serves live data via microservices, FastAPI, Docker and Kubernetes. His expertise spans time-series forecasting, regression, clustering, recommender systems, NLP and the statistics underpinning ML, with hands-on experience deploying models in cloud environments like Vertex AI and BigQuery. A former analyst at the Hellenic Army, he combines disciplined operational experience with academic rigor and a creative side as a classically trained guitarist. He is motivated by shaping strategic product decisions and converting research insights into business-impacting solutions.
9 years of coding experience
2 years of employment as a software developer
High School, High School at The American College of Greece
BSc, Computer Science, 8.03, BSc, Computer Science, 8.03 at Ethnikon kai Kapodistriakon Panepistimion Athinon
Classical Guitar Degree, Music Performance, Distinction, Classical Guitar Degree, Music Performance, Distinction at National Conservatory of Athens
Master of Science - MS, Artificial Intelligence, 8.6, Master of Science - MS, Artificial Intelligence, 8.6 at UvA
English, Greek, French