Benjamin Mitzkus
Software Developer at Salufast
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolBenjamin Mitzkus is a software developer based in Berlin with a decade of experience building machine learning, computer vision, and data-driven systems. He blends research and production work, having developed ML pipelines and robust object detection and 3D point-cloud matching algorithms during research roles at BethgeLab, Lehrstuhl Computergrafik, and Wichmann Lab. At Salufast he applies this research grounding to applied software development, while earlier full‑stack work at the eScience Center shows comfort across web and backend stacks for digital research platforms. His academic background in computer science and cognitive science from the University of Tübingen informs a pragmatic approach to ML problems that considers both algorithmic and perceptual perspectives. Benjamin is particularly experienced in automating model evaluation across diverse datasets, a skill that helps bridge experimental reproducibility and deployment readiness. Colleagues would describe him as a developer who moves smoothly between prototyping novel CV methods and hardening them for real-world use.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Tübingen
German, English, French, Danish
Github Skills (148)
digital-humanities10
python10
style-transfer10
flask10
cors10
spatial-data10
data-augmentation10
react10
data-engineering9
middleware9
data-exploration9
data-analytics9
data-viz9
superset9
data-visualization9
Programming languages (9)
Github contributions (5)
bethgelab/stylize-datasets
Apr 2019 - Feb 2021
A script that applies the AdaIN style transfer method to arbitrary datasets
Contributions:5 reviews, 22 commits, 9 PRs in 1 year 10 months
style-transfer
bethgelab/imagecorruptions
Jun 2019 - Apr 2022
Python package to corrupt arbitrary images.
Contributions:1 release, 24 commits, 3 PRs in 2 years 10 months
pythonimage-corruptionsdata-augmentationpip3
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