Fabian Groh
Software Development Engineer at Amazon
Tübingen, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolFabian Groh is a Software Development Engineer with eight years of experience bridging academic research and industry, currently building at Amazon after a long research tenure at the University of Tübingen. He specializes in massively parallel processing for 3D computer vision, machine/deep learning, and BRDF estimation, developing GPU-accelerated layers (CUDA) that enable real-time, large-scale learning on unstructured 3D scene data. A senior PhD candidate in Computer Science, he blends computer vision and graphics knowledge to turn research ideas into production-capable systems. Colleagues know him for tackling hard, low-level performance challenges and for bringing rigorous academic methods to practical engineering problems in production environments.
8 years of coding experience
Diplom-Ingenieur, Medieninformatik, Diplom-Ingenieur, Medieninformatik at Universität UlmDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Eberhard Karls Universität Tübingen
Stackoverflow
1reputation
0reached
0answers
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Github Skills (30)
ide9
development-environment9
python8
deep-learning8
gpu8
machine-learning8
vscode7
browser7
neural-network6
tensorflow6
vscode-extension6
javascript6
vscode-remote5
numpy5
grid3
Programming languages (3)
Github contributions (5)
cgtuebingen/ggnn
Dec 2019 - Mar 2021
Contributions:3 commits, 2 pushes, 4 branches in 1 year 3 months
cgtuebingen/Flex-Convolution
Oct 2018 - Nov 2018
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Contributions:2 commits, 3 comments, 1 issue in 6 days
pytorchdeep-learningobject-detectioncomputer-visionconvolution
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