The Engineering Team at Maddox AI is responsible for developing and maintaining the core technologies that power our advanced AI-driven quality control solutions. This includes designing and implementing backend systems, creating and refining machine learning models, developing hardware integrations, and ensuring the robustness and scalability of our software. The team collaborates closely to innovate and enhance our products, providing reliable and efficient automation for defect detection and quality assurance.
Adrian Frank
Backend Developer
Adrien Deliège
Lead ML Engineer
Aidas Kaminickas
Lead Hardware Engineer
Alexander Ecker
Co-founder And Lead ML Enginee...
David Rebhan
Senior Application Engineer
Jugoslav Stojcheski
Machine Learning Engineer
Maximilian Schempp
Head Of Software Engineering
Paul Voelker
Software Engineer
Stefan Wezel
Machine Learning Engineer
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