He holds a Master’s Degree in Statistics, Economics, and Business from the University of Bologna and has specialized in machine learning applications for vibration data analysis. He has experience in developing machine learning models for anomaly detection and predictive maintenance in mechanical systems, covering the full workflow from research and development to containerization and deployment of AI solutions.