Pavel Jahoda is a computer vision engineer with ten years of hands-on experience building and deploying ML systems, currently working at a stealth startup in Munich. He has a strong research background—publishing and presenting international conference work—and has driven production gains such as boosting a robotic arm’s textile pick-up rate from 88.5% to 98.3% and cutting cycle time by 40%. Pavel’s experience spans industry and research labs including Toyota and ESA, where he developed 3D vehicle annotation and mineral classification tools, and academic projects that outperformed humans on tasks like facial ambiguity detection and audio-based age estimation. Trained at Technical University of Munich and Czech Technical University, he combines competitive problem-solving from programming contests with practical MLOps improvements (ClearML integration) and mentorship of junior engineers.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Faculty of Information Technology, Bachelor's degree Faculty of Information Technology at Czech Technical University in Prague
Master of Science (M.Sc.) Data Engineering and Analytics, Master of Science (M.Sc.) Data Engineering and Analytics at Technical University of Munich
Exchange Semester School of Computer Science and Engineering, Exchange Semester School of Computer Science and Engineering at Nanyang Technological University Singapore
Contributions:343 commits, 100 pushes, 1 branch in 3 years 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Pavel Jahoda - Computer Vision Engineer at Stealth Startup