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.
11 years of coding experience
11 years of employment as a software developer
BSc. Electrical Engineering, BSc. Electrical Engineering at Azad University (IAU)
Master of Science - MS Neural Information Processing, Master of Science - MS Neural Information Processing at University of Tübingen
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Nima Ghorbani - Principal AI Architect at Cubert Hyperspectral