Johannes Kolbe is a Principal Machine Learning Engineer with 12 years of experience bridging research-grade computer vision and practical AI solutions for industry. After developing perception algorithms at Fraunhofer for automotive use, he expanded into production-focused data science and NLP at celebrate company before moving into a principal role at TEQYARD. He combines deep technical roots in classical and ML-based vision (camera, LiDAR) with hands-on Python backend experience to deliver end-to-end systems. Passionate about open source, Johannes contributes when time allows and seeks projects that translate cutting-edge research into measurable real-world impact. Based in Brunswick, Germany, he brings academic rigor from TU Berlin together with a pragmatic drive to create socially beneficial AI applications. Colleagues describe him as curious and playfully experimental—someone who deliberately moves from lab prototypes into solutions that scale.
12 years of coding experience
11 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Technische Universität Berlin
Bachelor's degree International Media and Computing, Bachelor's degree International Media and Computing at Hochschule für Technik und Wirtschaft Berlin
Contributions:10 pushes, 1 branch in 2 years 4 months
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Johannes Kolbe - Principal Machine Learning Engineer at TEQYARD