Leon Wolf
Senior Product Engineer at Passionfroot
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolLeon Wolf is a Senior Product Engineer based in Berlin with nine years of experience building AI-driven eCommerce and search solutions for B2C and B2B markets. He combines a founder’s mindset with hands-on engineering and product management to turn real-world problems into market-ready features. Skilled across web development, search, and AI, he focuses on solving practical scalability and UX issues while maintaining technical rigor from prototype to production. Leon contributes to open-source computer vision tooling—recently adapting DaSiamRPN tracking for CPU usage in an image/video labeling project—showing a pragmatic approach to ML engineering. Trained in IT security and reliability at Universität zu Lübeck, he brings an ingrained focus on dependable systems and operational resilience. Always curious, he favors projects that intersect product impact with measurable technical improvement.
9 years of coding experience
Bachelor’s Degree, IT security and Reliability, Bachelor’s Degree, IT security and Reliability at Universität zu Lübeck
English, German
Github Skills (8)
computer-vision10
opencv10
python10
machine-learning9
object-detection9
torchscript7
torch-hub7
torch-net7
Programming languages (13)
Github contributions (5)
Cartucho/OpenLabeling
Jun 2019 - Jul 2019
Label images and video for Computer Vision applications
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 1 PR, 11 comments in 1 month
Contributions summary:Leon primarily focused on modifying and updating the DaSiamRPN tracking method within the openlabeling project, which is a tool for image labeling for computer vision. Their commits addressed issues related to CPU-only processing and model loading, specifically targeting the DaSiamRPN tracking method to work on CPU. Additionally, the user updated the main script and configured the default tracker to KCF.
pascal-voctraining-yolovisiondeep-learningobject-detection
fogx/OpenLabeling
Jun 2019 - Jul 2019
Label images and video for Computer Vision applications
Contributions:12 pushes in 1 month
visiondeep-learningcomputer-visionlabel-imagesimage-processing
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