Summary
Stefanos Antaris is a Principal Machine Learning Engineer based in Stockholm with 12 years of experience applying AI research to production systems and a Ph.D. from KTH. He has led ML teams and built high-impact solutions across recommendation engines, time-series forecasting, reinforcement learning, graph neural networks and agentic AI for Fortune 500 clients, including video distribution and financial models. Comfortable from research to MLOps, he ships models with PyTorch, TensorFlow and LangChain on major cloud platforms while balancing product metrics and technical rigor. His career blends academic depth (Marie Curie fellowship, long research background) with hands-on engineering—from backend payment integrations to scalable streaming algorithms—demonstrating an unusual mix of enterprise delivery and foundational research. Known for translating complex ML into measurable business outcomes, he currently heads principal-level ML initiatives at King.
12 years of coding experience
12 years of employment as a software developer
Industrial Doctor of Philosophy - PhD, Artificial Intelligence, Industrial Doctor of Philosophy - PhD, Artificial Intelligence at KTH Royal Institute of Technology
Master's degree, Data Modeling/Warehousing and Database Administration, Web Mining, Statistics, Software Security, Master's degree, Data Modeling/Warehousing and Database Administration, Web Mining, Statistics, Software Security at Information Systems, Aristotle University of Thessaloniki
Bachelor's degree, Computer Science, Informatics, Bachelor's degree, Computer Science, Informatics at Computer Science, Informatics, Aristotle University of Thessaloniki
English, Greek, German