Florian Barthel
Doktorand at Fraunhofer Heinrich Hertz Institute HHI
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolFlorian Barthel is a PhD candidate at Humboldt-Universität zu Berlin and a research scientist at Fraunhofer HHI, combining eight years of hands-on experience across machine learning, computer vision, and full-stack IoT/cloud development. His work spans deep image synthesis (including practical experience with NVIDIA StyleGAN) and academic tutoring in machine learning and machine vision, reflecting both applied research and teaching strengths. Based in Berlin, he brings a strong academic foundation from Universität Augsburg (BSc/MSc in Informatik und Multimedia) paired with industry-oriented engineering from roles as a research assistant and software developer. Florian is comfortable translating cutting-edge research into reproducible experiments and prototype systems, and his dual roles at a leading university and a Fraunhofer institute highlight an ability to bridge fundamental research and real-world applications. Notably, his background blends GPU-accelerated generative models with cloud-enabled IoT stacks, giving him a rare cross-disciplinary perspective on ML deployment.
8 years of coding experience
Master of Science - MS, Informatik und Multimedia, Master of Science - MS, Informatik und Multimedia at Universität Augsburg
Stackoverflow
1reputation
0reached
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Github Skills (22)
python-interactive10
viewer10
python10
imgui10
neural-rendering10
interactive10
3d10
decoder9
compression8
3d-reconstruction7
computer-vision5
bounding-box4
webcam3
adversarial-learning3
network3
Programming languages (3)
Github contributions (5)
Florian-Barthel/splatviz
Feb 2024 - May 2026
Full python interactive 3D Gaussian Splatting viewer for real-time editing and analyzing.
Contributions:4 releases, 1 review, 20 PRs in 2 years 3 months
3dpython-interactive3d-gaussian-splattinginteractivepython
Florian-Barthel/Twitter-Light
Aug 2019 - May 2021
Coding Challenge Backend
Contributions:20 PRs, 47 pushes, 18 branches in 1 year 9 months
expressbackendnodejschallenge-backendmongodb
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