Summary
Lars Rosenbaum is a Deployed AI Engineer and team leader with 13 years of experience turning research-grade AI into safe, production-ready systems for automotive and embedded platforms. He has led cross-functional teams to deploy high-risk models under EU AI Act constraints, cutting compute by 50x+ through sparsification, quantization and custom vectorization while building robust safety cases aligned with emerging standards. At Bosch he pioneered the company’s first multimodal lidar/radar/video dataset and standardized containerized training-to-vehicle workflows for 30+ researchers, accelerating issue resolution tenfold. Comfortable across research, tooling, and product ownership, he balances bold experimentation with practical safety engineering and has shepherded multiple projects from hackathon prototypes to customer demos. Based in Lahntal, Germany, he combines a PhD-level research background in bioinformatics with hands-on embedded optimization—and even co-manages a horse farm as a side venture.
13 years of coding experience
3 years of employment as a software developer
Bioinformatics, Bioinformatics at Uppsala universitet (Uppsala University)
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of Tübingen