Summary
Konstantinos Pliakos is an AI Engineer and ML Research Scientist with a PhD from KU Leuven and over a decade of experience translating machine learning research into industry-ready solutions. He has led AI projects across drug discovery and recommender systems, developing novel ML/DL methods for interaction networks, virtual screening, and large-scale small-molecule data processing. His career blends deep academic publishing and interdisciplinary collaboration with hands-on engineering—building databases, prototypes, and scalable ML pipelines at institutions like imec, KU Leuven and CISTIM. Comfortable bridging academia and industry, he has a track record of research valorisation and leading small, focused data-science teams. A detail often overlooked: his early work included end-to-end prototype development and SQL database creation, giving him rare fluency across data infrastructure, modeling, and deployment.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at KU Leuven
Master of Science (MSc) Digital Media - Computational Intelligence, Master of Science (MSc) Digital Media - Computational Intelligence at Aristotle University of Thessaloniki (AUTH)
English, Greek, French