Summary
Philip Neugebauer is a software engineer with eight years of experience specializing in computer vision and virtual reality, recently completing a Master's thesis at Carnegie Mellon on cross-domain object detection label generation. He has built end-to-end AI systems including 3D face reconstruction, scene reconstruction, tracking, and audio classification using tools like PyTorch and Detectron2, and has applied those skills in autonomous driving and sonar-based detection projects. In VR he spent six years visualizing physics simulations, integrating hand-tracking and multiplayer for medical training, and remotely operating a humanoid robot, blending research-grade prototyping with production-oriented engineering. Philip has led small teams in industry-academic projects and brings practical experience from institutes like the Max Planck and NavLab to commercial roles in Munich, where he now seeks a full-time position to scale his research-driven solutions.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Informatics, Master's degree, Informatics at Technical University of Munich