Fabian Groh
Software Development Engineer at Amazon
Tübingen, Baden-Württemberg, Germany
Summary
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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
0questions
Github Skills (29)
approximate-nearest-neighbor-search9
ide9
vscode9
cuda8
nearest-neighbor-search8
python8
development-environment8
gpu8
graph7
vector-database7
machine-learning7
deep-learning7
neural-network5
vscode-remote5
segmentation5
Programming languages (5)
Github contributions (5)
cgtuebingen/ggnn
Dec 2019 - Mar 2021
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Contributions:3 commits, 2 pushes, 4 branches in 1 year 3 months
gpugraphnearest-neighbor-searchcudaann
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
convolutiongrid-worldpoint-cloudtensorflowcuda
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