Summary
Ioannis Antoniadis is a Machine Learning Scientist based in London with 11 years of software and research experience and eight years focused on ML in industry and academia. He has driven end-to-end ranking models and scalable TensorFlow Ranking pipelines at Expedia Group, delivering measurable CVR and gross profit improvements while also reducing training costs via gradient-based data pruning on billion-record datasets. His background blends EU-funded research—building NLP pipelines, real-time event streaming engines, and cloud orchestration platforms—with hands-on production engineering for supply chain and big data systems. Comfortable taking projects from requirements and sprint planning to deployment and evaluation, he pairs strong academic credentials from KU Leuven and AUTH with practical skills in distributed training, bias mitigation, and offline evaluation metrics. Colleagues rely on him for bridging research and production: he not only prototypes novel methods but also engineers them into repeatable, multi-team frameworks.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, 80.25% (Magna cum laude), Master of Science - MS, Artificial Intelligence, 80.25% (Magna cum laude) at KU Leuven
Master of Engineering (M.Eng.), Computer Engineering, 8.27 / 10 (top 3% of class), Master of Engineering (M.Eng.), Computer Engineering, 8.27 / 10 (top 3% of class) at Aristotle University of Thessaloniki (AUTH)
English, German, Greek