Shabbir Marzban
About Shabbir Marzban
Shabbir Marzban is an Applied Scientist at TomTom with over 8 years of experience in computer vision, machine learning, and deep learning.
Title
Shabbir Marzban is currently an Applied Scientist at TomTom. His role focuses on advanced applications in computer vision and machine learning.
Current Position
Since 2023, Shabbir Marzban has been working as an Applied Scientist at TomTom in Eindhoven, North Brabant, Netherlands. His job involves leveraging machine learning and computer vision techniques to enhance the company’s navigation and mapping solutions.
Professional Experience
Shabbir Marzban has accumulated over 8 years of experience in computer vision, machine learning, and deep learning. Prior to his current role, he served as a Senior Machine Learning Researcher at Promaton in Amsterdam from 2021 to 2023. From 2019 to 2021, he worked as a Research and Development Engineer at NavInfo (Europe) B.V. at the Advanced Research Lab in the Eindhoven Area. Additionally, he has experience as a Computer Vision Engineer at Uru in New York and as a Research Engineer specializing in computer vision at Ingrain.io in Lahore. His early career includes roles as a Research Assistant at Koç University and the Lahore University of Management Sciences, as well as a brief stint as a Computer Vision Consultant at 3D Systems Integrators.
Education and Expertise
Shabbir Marzban holds a Master's degree in Computer Science and Engineering from Koç University, where he studied from 2013 to 2015. He also holds a Bachelor of Science in Electrical Engineering from the Lahore University of Management Sciences, completed in 2012. His expertise spans 3D reconstruction, digital signal processing, computer vision, and machine learning. He is proficient in using advanced libraries such as Ceres and Colmap for C++ programming, and Python libraries such as Pytorch, Scipy, Scikit-learn, Scikit-image, OpenCV, Tensorflow, and Keras.