Empower machines to detect, classify, and track objects within visual data, enabling real-time decision-making and automation.
Train machines to accurately identify and classify visual content, enhancing systems that rely on visual input for intelligent analysis and response.
Precisely label and isolate specific regions within an image to support applications such as product inspection, quality control, and industrial diagnostics.
Leverage our interdisciplinary expertise in mechanical, electrical, software, and manufacturing engineering to deliver tailored consulting solutions across diverse industries.
Automate the accurate counting of products, components, or outputs to improve efficiency and reduce human error.
Identify flaws or irregularities in products early in the process to ensure consistent quality and minimize waste.
Detect anomalies and irregularities in real time to maintain smooth operations and quickly address issues.
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I am building computer vision solutions and connecting them with engineering applications. With a background in automation, mechanical systems and software development, I create tools that bridge the gap between smart software and physical systems. Our vision lies in creating image-based solutions that detect, recognize, and analyze visual input and processthem into actionable information.
Master of Engineering – Electrical & Computer Engineering - University of Georgia, United States
Bachelor of Science in Mechanical Engineering - Lucerne University of Applied Sciences and Arts, Switzerland
Apprenticeship Automatiker EFZ – Victorinox, Switzerland
Computer Vision Performance Measurement Software for Agricultural Vacuum Seed Meters – Developed a highly accurate measurement tool to evaluate seed singulation with <2% error. Integrated a GUI for non-programmers to enable usability across a broad audience.
