Paul Mattes
Machine Learning Engineer at Aignostics
Potsdam, Brandenburg, Germany
Summary
👤
Senior🎓
Top SchoolPaul Mattes is a Machine Learning Engineer with eight years of hands-on experience and an M.Sc in IT-Systems Engineering from HPI Potsdam, currently working at Aignostics. He specializes in making AI models efficient—distillation, quantization and reducing memory, energy and runtime—and was a main developer of the bitorch framework for quantized/binarized neural networks used at HPI and heading toward a conference paper. His background spans production computer vision for driver monitoring, finetuning LLMs for enterprise use at SAP, and secure IoT research at Oxford, demonstrating a rare blend of edge-focused efficiency and practical ML deployment. Colleagues describe him as both research-minded and product-oriented, comfortable taking innovations from open-source prototypes into real-world systems.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, IT-Systems Engineering, 1.1 with distinction, Master of Science - MS, IT-Systems Engineering, 1.1 with distinction at Hasso Plattner InstituteA Levels, 1.1, A Levels, 1.1 at Max-Planck-Gymnasium Trier
German, English
Github Skills (53)
pytorch9
python9
deep-learning9
gpu8
machine-learning8
numpy7
keras7
gpu-acceleration6
neural-network6
api6
tensorflow6
acceleration6
reinforcement-learning6
wifi5
cli5
Programming languages (3)
Github contributions (5)
Snagnar/basic-iot-server
Oct 2019 - Mar 2024
A very basic server with a few routes for iot devices to connect with
Contributions:1 PR, 4 pushes in 4 years 5 months
iot-devicesiotroutes
hpi-xnor/bitorch
Mar 2021 - Jan 2023
BITorch: Open-Source Implementation of Binary Neural Networks with PyTorch
Contributions:366 commits, 1 PR, 3 pushes in 1 year 9 months
binary-neural-networksdeep-learningpythonpytorch
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