Summary
Martin Leinberger is a Research Engineer at Bosch Corporate Research with 14 years of experience building data-driven solutions that make data findable, usable, and actionable for AI applications. He brings deep expertise in data engineering, semantic graph data, and AI developed during a lengthy academic career as a postdoc and lecturer in Big Data, Algorithms & Data Structures, and Artificial Intelligence. His work spans both foundational research—programming and querying semantic graph data—and practical engineering, shipping AI solutions on top of integrated data platforms. Based in Koblenz, Germany, he combines rigorous doctoral-level training in computer science with hands-on experience in enterprise research settings, uniquely bridging academic methods and industrial deployment. An understated strength is his track record of teaching complex topics, which surfaces in clear, reproducible approaches to structuring and querying data for downstream ML/AI systems.
14 years of coding experience
Dr. rer. nat., Computer Science, Dr. rer. nat., Computer Science at University of Koblenz and Landau
Bachelor's Degree, Computer Science, 1,4, Bachelor's Degree, Computer Science, 1,4 at Johannes Gutenberg-Universität Mainz
English, German