Research Engineer in the field of robotic assembly automation using methods of mathematical optimization and machine learning with proficiency in the following fields:

• Assembly Line Balancing optimization for robotics and hybrid lines using mixed‑integer programming and genetic algorithms.
• Usage of robotic assembly skills in combination with symbolic AI to solve a peg-in-hole task with real‑world execution and evaluation.
• Learning complex assembly tasks in physics simulation using Reinforcement Learning.
• Verification of Machine Learning detection models in safety‑critical applications.

Research Assistant in the group of “Industrial and Commercial Service Robots” with the following main emphasis:

• Autonomous simulation and identification of safety critical behaviour for assistive robots as continous integration service.
• Design and simulation of assistive robotics in highly changeable and dynamic environments.
• Optimization of path control procedures for assistive robots through identification and setup of edge-case test environments and a parameter optimization pipeline.

• Technical design, calculation and construction of endurance and extreme temperature test benches for automotive manufacturers.
• Investigation of double clutch systems in high performance transmission for motorcycles with more than 200 hp.

• Specialized in software engineering and systems control, with a focus on automation applications.
• Master thesis in the field of reinforcement learning for human robot collaboration, “Deep reinforcement learning architecture for safety behaviour in robotics”.
• Study thesis in the field of service robotics path planning, “Analysis and optimization of parameter sets for path control procedures of mobile service robotics in dynamic environments”.
• Final grade 1,7.

• Bachelor thesis in the field of control engineering, “Design of a control algorithm for an airplane autopilot”.
• Final grade 1,7.