Main research focus in the field of automotive diagnostics. Investigating the potential of machine-learning and AI-approaches for new diagnostic methods in hybrid drive trains.

Research assistant, currently contributing to the development of AI-based solutions in the field of automotive diagnostics.• developing system concepts• creating ML-algorithms incl. neural networks (mostly in python)• analyzing and optimizing ML-algorithms

As an intern in a development team, tasks included developing CAD-designs for testing equipment and prototypes, running and evaluating experiments, as well as carrying out theoretical simulations. During this six months internship, all tasks were linked to the same project. My objective was to develop and validate a solution for an occurred problem.

Tasks mainly included developing CAD-designs for prototypes, which then were manufactured within the institute.

Six month internship prior to the mechanical engineering diploma program.