Martin Knoche is a CI/CD Engineer and Dr.-Ing. who bridges cutting-edge computer vision research with production-grade AI deployment, currently integrating agentic AI into BMW’s autonomous driving CI/CD pipelines. With nine years of experience spanning a TUM doctoral focus on deep learning, face recognition and super-resolution to hands-on engineering internships in automotive systems, he combines rigorous academic foundations with practical tooling and process improvements. He specializes in operationalizing ML—designing CI/CD strategies, automation and tooling that make research reproducible and scalable in safety-critical environments. Based in Garmisch-Partenkirchen, he brings cross-disciplinary exposure from international exchanges and Arctic image-processing research to large-scale automotive software integration. Colleagues know him for translating complex models into auditable, deployable workflows rather than theoretical prototypes.
9 years of coding experience
Research Project, Image Processing and Informationextraction, Research Project, Image Processing and Informationextraction at University Centre in Svalbard
Norges teknisk-naturvitenskapelige universitet
Doctor's Degree, Deep Learning Computer Vision, Doctor's Degree, Deep Learning Computer Vision at Technical University of Munich
Master’s Degree, Electrical Engineering and Information Technology, 1.8, Master’s Degree, Electrical Engineering and Information Technology, 1.8 at Technische Universität München
Contributions:24 commits, 18 pushes, 1 branch in 2 months
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Martin Knoche - CI CD Engineer Software Integration