Constantin Ruhdorfer is a Ph.D. scholar in Collaborative Artificial Intelligence at Universität Stuttgart and IMPRS-IS, with eight years of hands-on experience spanning machine theory of mind, human-AI cooperation, and multi-agent systems. He combines rigorous academic training (top grades in CS degrees from Stuttgart, Eindhoven, and DHBW) with practical engineering—building recommender systems, contributing to theorem proving (E), and even developing a driverless race car. His research blends state-of-the-art deep learning architectures (transformers, GNNs, RNNs) with interpretable modeling to probe inner reasoning and improve human-AI collaboration. Industry stints at Bosch CAI and diconium sharpened his applied NLP, semantic reasoning, and scalable ML deployment skills. Active on GitHub, he keeps a portfolio of diverse projects that reflect both research depth and production-oriented engineering.
8 years of coding experience
Master of Science - MS, Computer Science & Engineering, 8.5, Master of Science - MS, Computer Science & Engineering, 8.5 at Eindhoven University of Technology
Master of Science - MS, Informatics, 1.1, Master of Science - MS, Informatics, 1.1 at Universität Stuttgart
Bachelor of Science - BS, Computer Science, 1.2, Bachelor of Science - BS, Computer Science, 1.2 at Duale Hochschule Baden-Württemberg
Contributions:54 commits, 16 pushes, 3 branches in 15 days
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Constantin Ruhdorfer - Ph.D. Scholar at Universität Stuttgart