Tamas Levendovics earned his BSc degree in Molecular Bionics in 2014, followed by an MSc in Computer Engineering in 2016, both from the University of Szeged. During his university studies, he joined the Noise Research Group, where he worked on physiological measurements, signal processing, and their applications in telemedicine. In 2016, he began his doctoral studies at the Antal Bejczy Center for Intelligent Robotics at Obuda University, where he wrote his dissertation on the analysis of motion patterns and low-level automation in robot-assisted surgery. Since 2020, he has been assistant lecturer at the John von Neumann Faculty of Informatics at Obuda University, teaching several courses in robotics and machine learning. Since 2023, he has been working as a researcher at the Austrian Center for Medical Innovation and Technology (ACMIT). Currently, he is focusing on surgical sub-task automation and the analysis of surgical workflows using machine learning techniques.