Summary
Martin Jakomin is a Data Science Team Lead with a PhD in Computer Science and 14 years of experience building production-ready machine learning systems for big data and high-throughput environments. He has led data science teams at Teads and Outbrain/Zemanta, applying expertise in recommender systems, incremental learning, data fusion and synthetic data generation to improve personalization and scalability. Combining academic rigor from his doctoral research with hands-on engineering, he focuses on statistical modeling, optimization and operationalizing models in real-world advertising tech stacks. Based in Ljubljana, he brings a researcher's curiosity to product problems and a track record of translating complex algorithms into measurable business impact.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Ljubljana, Faculty of Computer and Information Science
Master Engineer in Computer Science and Mathematics Mathematics and Computer Science, Master Engineer in Computer Science and Mathematics Mathematics and Computer Science at University of Ljubljana, Faculty of Mathematics and Physics
English, German, Slovenian