Florian Vahl
Research Assistant at German Aerospace Center (DLR)
Halstenbek, Schleswig-Holstein, Germany
Summary
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Rockstar🎓
Top SchoolFlorian Vahl is a research-focused software engineer with nine years of experience, currently a Research Assistant at the German Aerospace Center (DLR) working on robot-assisted repair. He holds both a BSc and MSc in Computer Science from the University of Hamburg and combines academic rigor with applied engineering in robotics and perception. Florian contributes to open-source ML tooling—notably improving a popular PyTorch YOLOv3 implementation by enhancing data handling, augmentations, and robustness for real-world datasets. His work bridges computer vision and robotic systems, emphasizing reliable preprocessing and dataset resilience for deployed models. Based in Halstenbek, Germany, he brings practical experience integrating ML pipelines into research prototypes for complex repair tasks. Colleagues value his detail-oriented refactors and pragmatic approach to making research code production-ready.
9 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Hamburg
Github Skills (8)
data-preprocessing10
computer-vision10
pytorch10
machine-learning10
yolov410
python9
image-augmentation9
numpy8
Programming languages (21)
Github contributions (5)
eriklindernoren/PyTorch-YOLOv3
Jan 2021 - Jan 2023
Minimal PyTorch implementation of YOLOv3
Role in this project:
ML Engineer
ML EngineerContributions:36 reviews, 280 commits, 125 PRs in 2 years
Contributions summary:Florian made several contributions related to improving the PyTorch YOLOv3 implementation, including removing and fixing data type handling. They added functionality, such as a numpy convert function, basic transforms, and augmentation transforms, enhancing data preprocessing capabilities. Furthermore, the user refactored box conversions, loaded truncated images and used nonechucks to skip invalid labels. They also added a progress bar, verbosity param, and adapted the dataset to use the new transforms.
pytorchyolov3object-detectionpytorch-implementation
bit-bots/rot_conv_lib
Feb 2020 - May 2022
Library for working with 3D rotations in C++
Contributions:1 review, 1 PR, 2 pushes in 2 years 3 months
cpprotations
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