Shabbir Marzban
Staff Applied Scientist at TomTom
Eindhoven, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolShabbir Marzban is a Staff Applied Scientist based in Eindhoven with 12 years of engineering and research experience focused on computer vision, generative AI, 3D reconstruction and signal processing. He blends deep research (WACV publication for an energy-efficient segmentation network) with hands-on production skills in Python, C++ and MATLAB to deliver resource-constrained vision systems and AR/advertising pipelines. At companies from startups to TomTom and NavInfo he led practical innovations like tooth-shape prediction, large-scale brand detection, and mobile AR tracking, and co-invented patents now held by Adobe. Known for squeezing performance out of constrained hardware, he also brings strong software engineering discipline and team mentorship to move prototypes into robust products.
11 years of coding experience
11 years of employment as a software developer
Master's degree (Research), Computer Science and Engineering, Master's degree (Research), Computer Science and Engineering at Koç ÜniversitesiBachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Lahore University of Management SciencesAlevels, Science, Alevels, Science at The Lyceum School, Karachi, Pakistan.
English, Gujarati, Urdu
Github Skills (36)
deep-learning9
tensorflow8
robotics7
computer-vision6
flask6
python6
django6
cpp5
lambda5
pyramid5
multimodal5
aws-lambda5
classification5
visualization5
pytorch4
Programming languages (2)
Github contributions (5)
shabbirmarzban/shabbirmarzban.github.io
Feb 2021 - Feb 2025
Contributions:46 pushes, 1 branch in 4 years
smarzban/Kinectv2Opencv
Jun 2014 - Jul 2014
Contributions:16 commits, 1 push in 28 days
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