Roman Orac is a Machine Learning engineer and technology CEO with 12 years of experience building production ML systems for recommendation, document classification, and risk evaluation. He has progressed from research at the Jozef Stefan Institute—where he helped develop distributed ML tooling—to leading ML teams that delivered measurable gains like a 30% boost in receipt categorization and a 95% tagging accuracy. Roman blends hands-on expertise across Python, Spark/MLlib, ElasticSearch and big-data pipelines with practical backend experience in Java, Go and cloud services, and he mentors engineers while translating complex ideas for non-technical stakeholders. Now leading an effort to advance decentralized, incentive-aligned AI, he brings both academic rigor and product-focused execution to building open systems. Based in Slovenia, he pairs a pragmatic, experimental mindset with a habit of creating reusable tooling (e.g., DiscoMLL and other open-source libraries) that scale research into production.
12 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Computer and Information Sciences, Master of Science (MS) Computer and Information Sciences at University of Ljubljana, Faculty of Computer and Information Science
Contributions:58 commits, 45 pushes, 1 branch in 2 years 11 months
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