Benjamin 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.
10 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
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-transferadainmethoddatasetarbitrary
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