Zeveldin Resch

Worked as a student assistant in the Machine Learning / Data Science group, supporting research-oriented development and data workflows. Main responsibilities included developing and implementing machine learning models, preparing and analyzing heterogeneous data sources such as CSV and text data, cleaning and transforming datasets, and implementing models with PyTorch. I also used Linux and Bash environments to automate workflows, created visualizations for research purposes, and used LLM tools to suppor

Completed a B.Sc. in Computer Science with a strong focus on Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing, and Reinforcement Learning. My bachelor thesis focused on Reinforcement Learning, Inverse Reinforcement Learning, and Large Language Models. The proje