Summary
Bostjan Kaluza is a Chief Data Scientist with over 14 years of hands-on experience applying machine learning, anomaly detection, and risk modeling to stabilize and secure complex IT environments. Holding a PhD in artificial intelligence, he combines deep research credentials with product-focused engineering—authoring books on machine learning with Java and holding patents in anomaly detection and root-cause analysis. At Evolven he leads predictive analytics and pattern-mining efforts that translate noisy operational data into actionable risk signals for enterprises. His prior academic leadership at the Jožef Stefan Institute and a visiting researcher stint at USC reflect a sustained focus on behavior modeling, multi-agent systems, and sensor-driven anomaly detection. Organizer of the 1,000+ member Data Science Slovenia meetup, he also bridges community-building with practical deployment experience in Java and Python. Notably, his work emphasizes turning formal research insights into production-grade detection systems that reduce outages and compliance exposure.
15 years of coding experience
9 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Southern California
B.Sc. Faculty of Computer and Information Science, B.Sc. Faculty of Computer and Information Science at University of Ljubljana
Ph.D. Computer Science, Ph.D. Computer Science at Jožef Stefan International Postgraduate School
English, Slovenian