Summary
Daniel Dreher is a DevTech Engineer with 11 years of experience at the intersection of real-time graphics, efficient image synthesis and machine learning, currently researching ML applications for real-time graphics at NVIDIA. He has shipped production-grade rendering and shader work for automotive platforms (MB.OS/MBUX) and cloud-based high-quality renderers, and previously built modular digital twin and real-time configurator systems in Unreal Engine. His background blends hands-on GPGPU optimization (CUDA/NSight), sensor integration for RGB-D systems, and full-stack ML tooling for research deployments, reflecting both academic rigor and product delivery. Notably, he has published peer-reviewed work on self-supervised deep feature learning for engine flow analysis and transitioned that research mindset into applied ML solutions for industry. Based in the Stuttgart region, he brings a rare combination of tech art, low-level performance tuning, and ML research experience to bridge prototype research and scalable production graphics.
12 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science and Media, Master of Science - MS Computer Science and Media at Stuttgart Media University
Bachelor of Science - BS Computer Science - Digital Media and Games, Bachelor of Science - BS Computer Science - Digital Media and Games at Hochschule Trier
German, English