CV

Education and selected work experience.

Contact Information

Name Nima Ghorbani
Professional Title Principal AI Architect
Email nima.gbani@gmail.com

Professional Summary

Computer vision, computer graphics, and machine learning practitioner building AI systems that extract structure and meaning from complex visual data. Currently leading AI frameworks and data-processing systems for hyperspectral imaging at Cubert GmbH.

Experience

  • 2025 - present

    Ulm, Germany (On-site)

    Principal AI Architect
    Cubert Hyperspectral (Cubert GmbH)
    Focus on AI frameworks, agentic tools, and scalable data-processing systems for hyperspectral imaging and industrial computer vision. Bridge advanced sensor data with modern AI workflows, including modular processing pipelines, machine-learning integration, natural-language analysis of visual and spectral data, and production-oriented systems for real-world industrial applications.
  • 2024 - 2025

    Berlin, Germany (Remote)

    Head of Artificial Intelligence
    Sporttotal Technology GmbH
    Developed AI-powered systems for fully automated sports broadcasting, immersive content generation, and advanced sports analytics. Work spanned real-time object detection and tracking on edge devices, human pose estimation, 3D body reconstruction, and identity tracking for sports productions. Additionally contributed to texture generation from sparse image samples using optimization techniques and diffusion-based inpainting, enabling high-fidelity 3D game reconstructions and interactive viewing experiences.
  • 2023 - 2024

    Berlin, Germany (Remote)

    Principal Computer Vision Engineer
    Sporttotal Technology GmbH
  • 2021 - 2022

    Munich, Germany

    Staff Applied Research Scientist
    Kaia Health Software GmbH
    Kaia Health is a digital therapeutics company that leverages AI-powered computer vision to deliver real-time, personalized musculoskeletal care through a smartphone camera. Researched and developed core ML models for 3D human pose estimation, motion analysis, and real-time feedback generation, enabling accurate human body tracking and automated movement assessments without wearable sensors.
  • 2018 - 2021

    Tübingen, Germany

    Research Engineer, Digital Humans in Motion
    Max Planck Institute for Intelligent Systems
    Perceiving Systems Department (Prof. Michael Black). Contributed to the development of foundational human body models and large-scale datasets that have significantly advanced the fields of 3D human reconstruction and motion analysis. Worked on SMPL-X (expressive human body model) and AMASS (dataset unifying marker-based motion capture with parametric body models for large-scale learning). Helped develop VPoser, a body pose prior for robust 2D-to-3D human lifting in SMPLify-X. Also contributed to GRAB (a generative model for human grasping) and SOMA (a framework for synthetic data generation for human-object interaction understanding).
  • 2013 - 2015

    Tehran, Iran

    Software Engineer, ERP Development & Implementation
    SuperPipe International Co.
    Led a team of two engineers to implement an open-source ERP (Odoo) at SPI, on a Python / PostgreSQL / HTML+CSS stack. Worked closely with finance, HR, warehouse, and inventory teams to integrate their processes into the ERP, supervised by the operational processes department to ensure industry standards were adapted and integrated for the best implementation impact.

Education

  • 2015 - 2017

    Tübingen, Germany

    MSc
    Eberhard Karls University of Tübingen
    Neural Information Processing
  • 2008 - 2012

    Tabriz, Iran

    BSc
    Tabriz Azad University
    Electrical Engineering, Electronics