Kurt Stolle is an AI and computer vision research scientist at Eindhoven University of Technology with 11 years of software and research experience focused on making visual systems more efficient and practically deployable. He designs and implements multi-task neural networks that jointly reason about geometry, semantics, depth and motion to boost accuracy through task interaction while cutting computational cost. Kurt combines academic rigor—validated by high-scoring internships at NXP and Philips and a master’s in electrical engineering—with hands-on engineering as a software founder and current Mapnomad engineer. His work emphasizes reproducibility and accessible demos, bridging novel theory with production-minded code and benchmarks. Notably, he has developed block-level hardware cost predictors for hardware-aware NAS and feed-forward OCR pipelines that tackle data scarcity through synthetic generation. Based in the Netherlands, he is open to collaborations that pair technical depth with real-world impact.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Electrical, Electronic and Communications Engineering Technology/Technician, Master's degree, Electrical, Electronic and Communications Engineering Technology/Technician at Technische Universiteit Eindhoven
Contributions:11 PRs, 39 pushes, 7 comments in 2 years 1 month
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Kurt Stolle - AI & Computer Vision Research Scientist at TU/e