Summary
Johannes Le is a Lead AI Software Engineer based in Munich with 13 years of experience building perception systems and AI-enabled products for automotive and healthcare domains. He has progressed from deep learning research and sensor fusion at Zenuity to hands-on hardware/software co-design and SDK development for AI accelerators at Tensordyne, blending model engineering with embedded system constraints. As a founding engineer at a healthtech startup he led distributed teams and delivered cloud-enabled predictive applications, demonstrating both technical breadth and people leadership. His work spans 2D/3D object detection, semantic segmentation, mono-depth and multi-sensor fusion (camera+LiDAR), plus the infra to standardize training and inference at scale. Comfortable across C++, Python and production ML stacks, he brings a pragmatic focus on getting state-of-the-art models to run efficiently on custom hardware—an expertise that sits at the intersection of research and productization.
13 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Informationstechnologie, Elektrotechnik, Master of Science (M.Sc.), Informationstechnologie, Elektrotechnik at Technical University of Munich
German, Vietnamese, English