Martin Winistoerfer

Angestellt, Director AI Research, Hexagon AB
Heerbrugg, Schweiz

Fähigkeiten und Kenntnisse

Artificial intelligence
Deep Learning
Machine Learning
Product Development
Keras
PyTorch
Project Management
Software Development
Electrical Engineering
Large Language Models

Werdegang

Berufserfahrung von Martin Winistoerfer

  • Bis heute 2 Jahre und 4 Monate, seit Okt. 2023

    Director AI Research

    Hexagon AB

    As Director of AI Research at Hexagon AI Hub, I lead strategic AI initiatives across the fields of 3D processing, computational photography, document intelligence, edge AI, and generative AI. I focus on technology management — identifying, prioritizing, and scaling impactful AI capabilities — including 3D instance segmentation and automated training pipelines. I oversee the AI Hub’s patent and IP strategy, evaluate emerging technologies for long-term value.

  • 1 Jahr, Okt. 2022 - Sep. 2023

    Team Lead AI

    Hexagon AB

    At Hexagon Technology Hub, I led the applied AI team focused on machine learning for image and point cloud data. I was responsible for the technical direction and successful delivery of key initiatives, including a feasibility study for automated 3D model generation (Scan-to-BIM). My work involved coordinating project roadmaps with multiple Hexagon divisions, evaluating academic research and competitor approaches, and managing cross-functional deliverables.

  • 4 Jahre und 7 Monate, März 2018 - Sep. 2022

    Head of Hardware Design

    BRUSA Elektronik AG

    Led a hardware design team developing high-efficiency power electronics for electric mobility. Drove technical and organizational leadership, managed resources, and optimized development processes/toolchains. Forged supplier and academic partnerships. Spearheaded the industrialization of a fast charger and fuel cell DC/DC converter for premium automotive OEMs.

Ausbildung von Martin Winistoerfer

  • 2005 - 2007

    Electrical and Computer Engineering

    Grand Valley State University

    Relevant Courses: - System Analysis/Optimization - Product Design - Adaptive Systems - Magnetism and Magnetic Materials - ASIC - Passive Diamagnetic Tilt Sensor

  • 1998 - 2001

    Electrical and Electronics Engineering

    Berner Fachhochschule BFH

    Relevant Courses: - Embedded Systems - Internet Services and Languages - Control Engineering - Digital Signal Processing DSP - Computer Networks - Mobile Communication

Sprachen

  • Englisch

    -

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