Marc Uecker
Research Scientist at FZI Research Center for Information Technology
Hesse, Germany
Summary
👤
Senior🎓
Top SchoolMarc Uecker is a Research Scientist with nine years of experience applying machine learning and deep learning to computer vision and perception for autonomous driving. Based at TU Darmstadt and the FZI Research Center, he leads fleet-wide LiDAR perception development including sensor fusion, 3D object detection, and semantic segmentation for shuttles and research vehicles while maintaining on-vehicle integration and networking. He designed and operates a scalable Linux/SLURM GPU cluster to enable large-scale model training and built the CoCar-NextGen research vehicle platform end-to-end, blending systems, sensors, and real-time perception stacks in Python, C++, CUDA, TensorFlow, and ROS. His background includes automotive-focused software engineering at Bertrandt and medical imaging research, and he also teaches ML concepts and supervises student theses, reflecting a strong mix of hands-on engineering, research, and mentorship. An interesting detail: he pairs automotive domain knowledge with practical infrastructure work, from in-vehicle compute architectures to cluster orchestration, enabling research models to run at fleet scale.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Science with minor in Automotive Technology, 1,36 (equivalent US GPA 3.64), Master of Science, Computer Science with minor in Automotive Technology, 1,36 (equivalent US GPA 3.64) at Technical University of Darmstadt
English, French, German, Chinese
Github Skills (138)
unreal-engine-410
python10
simulator10
image-processing10
metadata10
deep-learning10
fan-control10
ros10
autonomous-driving10
ml10
neural-network10
computer-vision10
deep-reinforcement-learning10
jax10
airsim10
Programming languages (14)
Github contributions (5)
Pyrestone/jetson-fan-ctl
Jun 2019 - Aug 2021
Automagic fan control for the Nvidia Jetson Nano
Contributions:29 commits, 6 PRs, 21 pushes in 2 years 2 months
nvidia-jetson-nanojetsonjetson-nanonvidianano
Pyrestone/recurrentshop
Jun 2018 - Jul 2018
Framework for building complex recurrent neural networks with Keras
Contributions:8 PRs, 19 pushes, 3 branches in 2 days
deep-learningrecurrent-neural-networksneural-networksneural-networktensorflow
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