Pavel Jahoda
Computer Vision Engineer at Stealth Startup
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolPavel 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 PragueMaster of Science (M.Sc.) Data Engineering and Analytics, Master of Science (M.Sc.) Data Engineering and Analytics at Technical University of MunichExchange Semester School of Computer Science and Engineering, Exchange Semester School of Computer Science and Engineering at Nanyang Technological University Singapore
Czech, English, Chinese, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
python9
cpp9
uncertainty8
deeplearning-ai7
computer-vision6
slurm6
pytorch4
earth-observation4
automl4
machine-learning4
hpc4
neural-network4
deep-learning4
tensorflow4
reinforcement-learning4
Programming languages (2)
Github contributions (5)
JahodaPaul/DecisionAmbiguityRecognition
May 2018 - May 2019
Deep learning AI, that recognizes when are people uncertain
Contributions:1 release, 16 commits, 15 pushes in 1 year
deeplearning-aicomputer-visiondecision-ambiguitydetectionneural-network
JahodaPaul/FIT_CTU
Apr 2017 - Mar 2021
Code written for courses while at Czech Technical University in Prague, FIT (mainly C++, Python)
Contributions:343 commits, 100 pushes, 1 branch in 3 years 11 months
cpppythonfit-ctufit-cvutczech-technical-university
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