Hermann Blum
Juniorprofessor at Rheinische Friedrich-Wilhelms-Universität Bonn
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolHermann Blum is a roboticist and junior professor at Rheinische Friedrich-Wilhelms-Universität Bonn with 11 years of experience bridging academic research and practical software development. Trained at ETH Zürich (BSc, MSc, PhD) and with a stint at Imperial College London, he progressed from teaching roles to a postdoc and now leads research and teaching in robotics. He contributes to open-source machine learning tooling—adding the LostAndFound dataset to tensorflow/datasets—demonstrating attention to reproducible benchmarks and backend dataset engineering. Based in Zurich and affiliated with the Lamarr Institute, he combines rigorous academic publishing with hands-on dataset and code contributions, making him adept at turning robotic perception research into usable software. Notably, his background includes long-term teaching experience, reflecting strong communication skills alongside technical depth.
11 years of coding experience
Erasmus Year, Erasmus Year at Imperial College LondonMaster, Master at ETH Zürich
Github Skills (8)
tensorflow10
python10
data-set10
datasets10
user-data9
data-model9
data-processing9
machine-learning8
Programming languages (14)
Github contributions (5)
tensorflow/datasets
Aug 2019 - Aug 2020
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 9 PRs, 13 comments in 11 months
Contributions summary:Hermann's contributions primarily involved the development of a new dataset, "LostAndFound," within the `tensorflow/datasets` repository. They added initial code, including dataset configuration and file handling logic, for the LostAndFound dataset. The user also refined the dataset's documentation and addressed style errors within the codebase.
datanumpydeep-learningdatasetmachine-learning
hermannsblum/Clean-CV
Jan 2017 - Oct 2017
Contributions:33 commits, 22 pushes, 1 branch in 8 months
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