Team Digital Production and Tool Management- Implementation of a simulation software in Python for modular car body production plants that meets all practical requirements and is fully configurable.- Developed a reinforcement learning environment and reinforcement learning agent using TensorFlow and TF-agents for maximum throughput-oriented scheduling and control of a modular car body production plant to provide an efficient and scalable solution for instances of the NP-hard job-shop scheduling problem.- Co-authored a paper on the progress and benefits of the PPO agent of my work as part of a research project.- Developed test procedures to measure the performance of reinforcement learning agents compared to metaheuristics with automatic evaluation and graphical representation.- Assisted in the hiring process by attending interviews as a technical correspondent.

Chair of Algorithms and ComplexityTaught additional lessons for a computer science lecture covering finite automatons, context-free languages, concurrency and more

Chair of Algebra and Number TheorySupervised 80 students taking a lecture in discrete math covering universal algebra, graph theory, combinatorics and two exams