Member of the innovation team, for AI tools in the area of controlling:• GenAI assistants for controlling and strategic planning• KPI prediction• Data pipelines

Master’s thesis “Improved Prediction Horizon for Rider Velocity in Curves”• Analyzed datasets and created a framework around them to test and optimize deep learning algorithms effectively• Development of a data-driven deep learning time series prediction model for driver velocity

Designed, tested, and implemented tools for advanced rider assistant systems while pursuing my master’s degree• Computer vision tool to automize the validation of radar activations to reduce the manual validation efforts• Interactive dashboard visualizing neuronal network outputs while riding using Plotly Dash• Adaptive UI to visualize and validate measurements of application rides in Matlab

Supported safety function development while pursuing my bachelor’s degree• Adapted CAN gateways to ensure CAN communication between embedded control units using C/C++• Responsible for application and validation rides on test-track and public roads

Bachelor’s thesis “Investigating the Suitability of Tile Coding in Reinforcement Learning for Motorcycle Brake Slip Control”• Conducted selection, implementation, and evaluation of reinforcement learning algorithms and tile coding• Deployed a machine learning model with proven suitability for motorcycle brake slip control

Development of an automatic calibration function to compensate for the influence of tire shape on the vehicle speed of motorcycles during lean angles• Tested, and validated the feature in simulation and on the test track• Significantly reduced time to find parameters

Apprenticeship as a mechatronics technician as part of the cooperative studies