Karim Shaban
Perception & Navigation Lead
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKarim Shaban is a Perception & Navigation lead with 12 years of experience applying computer vision and machine learning to autonomous systems, currently building vision and motion stacks for humanoid robots at Humanoid. He previously drove mapping, calibration and large-scale 3D vision projects at Woven by Toyota and Lyft, including an automatic label-less calibration system and SfM-based map reconstruction pipelines. Karim combines hands-on research engineering with product-facing delivery—spanning sensor fusion, localisation, and data validation/auto-labeling for safety-critical platforms. He holds a Master’s in Artificial Intelligence from TUM and started his career developing centimetre-accurate city-scale maps and real-time UAV tracking, giving him a rare depth across both mobile and robotic perception. Colleagues describe him as a pragmatic technical lead who moves systems from prototypes to robust cross-functional deployments.
12 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The German University in CairoMaster’s Degree Artificial Intelligence, Master’s Degree Artificial Intelligence at Technical University of Munich
English, Arabic, German
Github Skills (42)
geometry10
surface10
structure-from-motion10
stereo10
3d-reconstruction10
photogrammetry9
geometry-library9
mesh9
neural-rendering9
refinement9
texture9
computer-vision9
point-cloud8
volume-rendering8
scale7
Programming languages (3)
Github contributions (5)
kimoktm/Face2face
Jun 2018 - Aug 2021
Contributions:19 commits, 2 pushes, 1 comment in 3 years 2 months
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