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 (39)
geometry10
anomaly-detection10
dcgan10
surface10
structure-from-motion10
stereo10
3d-reconstruction10
generative-adversarial-network9
photogrammetry9
geometry-library9
neural-rendering9
3d9
refinement9
texture9
point-cloud9
Programming languages (3)
Github contributions (5)
kimoktm/Face2face
Jun 2018 - Aug 2021
A python library to to fit 3D morphable models to images of faces and capture facial performance overtime with no markers or a special mount
Contributions:19 commits, 2 pushes, 1 comment in 3 years 2 months
3dpython
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