Summary
Sebastian Bader is a software engineer with eight years of hands-on experience building robotics and embedded systems, specializing in ROS2, real-time control, computer vision, and sensor integration. He has implemented YOLO-based detection and 6D pose estimation pipelines with Intel RealSense cameras, developed software-in-the-loop robotics platforms and Yocto-based embedded stacks, and delivered hard real-time motion control for surgical and industrial arms. His background combines an M.Sc. from TUM and international study in Barcelona with practical roles at BotCraft, DLR and Robotise, demonstrating strength across Python, C/C++, CUDA, PyTorch and CI/CD for long-running autonomous systems. Beyond code, he brings signal-processing and control theory expertise (e.g., lens stabilization and null-space saturation control) that informs robust, safety-conscious robotic solutions. An avid traveler, he pairs technical curiosity with a global perspective that helps translate state-of-the-art algorithms into deployable systems.
7 years of coding experience
Electrical and Electronics Engineering, Electrical and Electronics Engineering at Universitat Autònoma de Barcelona
Master of Science - MS, Elektrotechnik und Informationstechnik, Master of Science - MS, Elektrotechnik und Informationstechnik at Technische Universität München