Munich, Bavaria, Germany
Engineer with a passion for autonomous driving and a focus on perception. I love a good challenge, ideating and finding solutions in teamwork and ultimately fixing real-world problems.
Autonomous Vehicle Perception Group. We research and deploy autonomous driving software for urban and racing applications. Our team focusses on modular perception with expertise in localization, detection, tracking, and prediction as well as end-to-end solutions.
My research is centered around context-aware motion prediction, motivated by real-world issues, deployed on our research vehicle EDGAR. https://www.mos.ed.tum.de/ftm/forschungsfelder/team-av-perception/edgar/
Deep Learning Group. NeuroTUM is a student organisation. We developed a Brain-Computer Interface to non-invasively decode electrical signals into precise control signals and competed at the Cybathlon 2024. Own contributions include hands-on software development, project oversight, member acquisition, and creating a productive and enjoyable space for solution development, including after-work events.
Deep learning team: Development of state of the art models to classify distinct brain signals in real time. Experimental design team: Pilot, execution of experiments using EEG. Public relations team: Organization of events.
Requirements engineering and development of an AI-model to predict errors in production processes
Road sign recognition team: Tool development for the provision of training and validation data, day-to-day business.
Internship required for the enrolment in undergraduate Mechanical Engineering studies. Introduction to a variety of mechanical engineering operations.