Moritz Blum is an AI specialist and PhD-trained researcher with eight years of experience bridging intelligent systems research and applied engineering. His doctoral work focuses on jointly learned vector-space embeddings that reconcile differently structured sources—melding NLP and knowledge-graph methods to improve knowledge graph completion across heterogeneous data. He has translated academic research into practice through ontology development for material-process chains and a stint as Co-Founder & CTO, demonstrating both domain-driven engineering and startup grit. A visiting researcher in Tokyo and current AI Specialist at CLAAS, he pairs international collaboration with industry deployment experience. Known for combining rigorous theoretical grounding with pragmatic system-building, he excels at turning complex multimodal knowledge into usable engineering solutions.
9 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at Aarhus University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Bielefeld University
Contributions:19 pushes, 2 branches in 3 years 2 months
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