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Michael VanderstuyftMV

Michael Vanderstuyft

Senior AI, Computer Vision & Graphics expert

EUR 799/Tag
Tienen, BE
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Michael

I'm a freelance Computer Vision & AI engineer with over 12 years (6 years professional) of hands-on experience architecting and delivering 30+ vision-driven solutions across industrial, medical, and embedded domains. Specialized in hyperspectral imaging, real-time AI pipelines, 3D vision, computer graphics, rendering, synthetic data, and custom hardware integration. I am a former technical lead in AI and computer graphics as well as a very experienced technical interviewer. For more information check synaptivision.com.
  • Niederländisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Französisch

    Konversationssicher

Vor Ort möglich
Tienen (bis zu 40 km)

Projekt- und Berufserfahrung

  • Apixa: Rodent detection in food produce
    Technical lead - Computer Vision, AI & Computer Graphics
    LEBENSMITTELINDUSTRIE
    April 2025 - September 2025 (5 Monate)
    Leuven, Belgien
    Designed and implemented a computer vision system to detect the presence of rodents in produce before packaging. The project combined high-resolution imaging with custom-trained detection models to identify contaminants in real time at high frame-rates. Developed a workflow that integrated with existing bagging lines, using automated inspection to improve food safety, reduce contamination risks, and ensuring operational efficiency.
    Object detection Image Processing Deep Learning TensorRT Pytorch
  • Apixa: Salad mix segmentation
    Technical lead - Computer Vision, AI & Computer Graphics
    LEBENSMITTELINDUSTRIE
    Februar 2024 - Juni 2025 (1 Jahr und 4 Monate)
    Leuven, Belgien
    Designed and implemented a segmentation system using synthetic data and hyperspectral imaging to accurately differentiate and classify components in mixed salads. The model enables automated sorting and quality control during the bagging process for grocery stores, improving efficiency and consistency in product packaging.
    Blender Pytorch Hyperspectral imaging Image Processing Image segmentation
  • Apixa: Indoor Localization and Tracking via Rackpoles
    Technical lead - Computer Vision, AI & Computer Graphics
    LOGISTIK & SUPPLY CHAIN
    Januar 2024 - Januar 2025 (1 Jahr)
    Leuven, Belgien
    Developed a computer vision system to detect rackpoles in warehouse images as a precursor for high-precision indoor localization. Worked with a limited dataset affected by significant encoding artifacts, requiring advanced image processing and robust detection methods to reliably identify rackpoles. The solution improved the accuracy of warehouse localization workflows and provided a foundation for tracking systems, despite challenging visual conditions and data limitations.
    Pycharm Deep Learning Image Processing Data visualisation Classical computer vision techniques

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Ausbildung und Abschlüsse

  • Master of Engineering: Computer Science
    KU Leuven
    2019
    Specialisation in AI (+took all courses in computer vision and computer graphics.)
  • Bachelor in de informatica
    KU Leuven
    2017
    Minor in business & innovation

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