Gabrijel Peršin is a PhD-level data scientist and engineer with nine years’ experience applying AI, simulation and advanced signal processing to industrial and regulatory problems. Currently at Anglo American he builds digital twins, optimisation and Process Strategy Advisor tools for mining, while also serving as CTO of a RegTech startup and leading data science for AI-driven regulation and compliance products. He combines deep academic expertise in vibration analysis and condition monitoring with hands-on product delivery—MVPs, conversational AI and production ML systems—for clients including BEIS and Innovate UK. Known for turning complex physical and regulatory domains into practical diagnostics, forecasting and prescriptive solutions, he bridges research, engineering and stakeholder collaboration across enterprise and startup environments.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical engineering Condition Monitoring Vibration analysis Oil analysis Damage diagnosis, Doctor of Philosophy (Ph.D.) Mechanical engineering Condition Monitoring Vibration analysis Oil analysis Damage diagnosis at University of Ljubljana, Faculty of mechanical engineering
Master’s Degree Electrical Engineering Mechatronics Intelligent systems and Automation Engineering, Master’s Degree Electrical Engineering Mechatronics Intelligent systems and Automation Engineering at University of Ljubljana, Faculty of electrical engineering
Post-Doctorate Data Processing Autonomous System Development Condition Monitoring Condition Based Maintenance, Post-Doctorate Data Processing Autonomous System Development Condition Monitoring Condition Based Maintenance at Cranfield University
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