Shabbir Marzban

Shabbir Marzban is a highly skilled applied scientist currently serving as a Staff Applied Scientist at TomTom since December 2023. Prior experience includes a position as a Senior Machine Learning Researcher at Promaton, where Shabbir enhanced project management and software engineering skills while leading research and development in tooth shape estimation and prediction techniques. Previous roles include Research and Development Engineer at NavInfo (Europe) B.V., where Shabbir developed RGPNet, an energy-efficient semantic segmentation network, and Computer Vision Engineer at Uru, focusing on CV/DL algorithms for video brand analytics. Earlier career stages involved research roles at Ingrain.io, Koç University, 3D Systems Integrators, and Lahore University of Management Sciences. Educational qualifications comprise a Master's degree in Computer Science and Engineering from Koç University and a Bachelor's degree in Electrical Engineering from Lahore University of Management Sciences.