Nima Ghorbani

Principal AI Architect at Cubert Hyperspectral

Ulm, Baden-Württemberg, Germany
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Summary

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Nima Ghorbani is a Principal AI Architect with 11 years of experience at the nexus of computer vision, graphics, and machine learning, currently developing hyperspectral AI solutions in Ulm, Germany. He has led AI teams and shipped real-time, edge-capable systems for automated sports broadcasting, immersive 3D reconstructions, and therapeutic motion analysis across industry and research settings. His background includes foundational contributions to expressive human body models and large-scale motion datasets at the Max Planck Institute, and applied work on SMPL-X, AMASS, VPoser, and generative grasping models. Equally at home in research and production, he combines a deep love of math with practical skills in pose estimation, 3D reconstruction, and diffusion-based texture synthesis to turn sparse inputs into high-fidelity human motion and appearance.
code11 years of coding experience
job11 years of employment as a software developer
bookBSc. Electrical Engineering, BSc. Electrical Engineering at Azad University (IAU)
bookMaster of Science - MS Neural Information Processing, Master of Science - MS Neural Information Processing at University of Tübingen
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Github Skills (80)

motion-tracking10
pose10
classifier10
computer-graphics10
markdown10
html10
motion-capture10
computer-vision10
gender-classification10
mocap10
github-pages10
action-recognition10
jekyll10
optical-flow10
pose-estimation10

Programming languages (7)

C++SCSSHTMLJupyter NotebookMATLABPythonCuda

Github contributions (5)

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MPI-IS/configer

Aug 2018 - Aug 2020

Easy configuration of arguments in a python code!
Contributions:11 commits, 2 PRs, 25 pushes in 2 years
python
nghorbani/soma

Sep 2021 - Jan 2022

Solving Optical MoCap Automatically
Contributions:14 commits, 10 pushes, 1 branch in 4 months
mocap
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