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Ole Tommy Vorren is a Senior Machine Learning Engineer at KONUX, where responsibilities include researching and analyzing vibration time series data from sensors near railroads, modeling the state of sensors and assets, implementing automatic surveillance scripts, and leveraging machine learning for predictive analytics on vibration signatures. Prior experience includes a summer internship at Kongsberg Defence Systems focused on developing a WMS client for tactical map display and serving as a mentor at Ent3r Vestfold. Ole Tommy Vorren holds a Master’s Degree in Computational Science and Engineering from the Technical University of Munich and a Bachelor’s Degree in Computer Engineering from the University of South-Eastern Norway.