Julian Aßmann is a PhD researcher at SAP and the University of Mannheim specializing in Sustainable AI, focused on reducing the computational and environmental cost of large-scale model inference through mechanistic interpretability and structured pruning. With nine years of experience spanning research internships at DLR to SAP’s STAR master's rotations and a top-ranked MSc, he blends strong academic foundations with hands-on engineering in Python, C++, ROS and ML systems. His work uniquely targets practical efficiency gains—cutting CO2 and cost—while preserving model performance, bridging lab insights and industrial deployment. Based in Heidelberg, Julian also has a track record tutoring and automating grading systems, reflecting an aptitude for clear technical communication and tooling that scales.
9 years of coding experience
Master of Science - MS, Computer Science, 1.0 with distinction, Master of Science - MS, Computer Science, 1.0 with distinction at Hochschule Karlsruhe (HKA) / University of Applied Sciences
Abitur, 1.1, Abitur, 1.1 at Mönchsee-Gymnasium Heilbronn
Bachelor of Science - BS, Computer Science, 1.4, Bachelor of Science - BS, Computer Science, 1.4 at Ruprecht-Karls-Universität Heidelberg
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Mannheim
Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Contributions:19 commits, 3 PRs, 16 pushes in 2 years 11 months
cudacontribnvidia-dockerpythonnvidia
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