Thomas Rouch is an R&D engineer specializing in computer vision and 3D scene reconstruction, with eight years of experience building AI-driven photogrammetry, point cloud processing, and NeRF systems for real-estate digitization. Trained at MINES ParisTech and ENS Paris-Saclay in applied mathematics and vision, he blends strong theoretical grounding with product-focused engineering, shipping production features at Check & Visit and Prophesee. He has hands-on experience across C++, Python, SLAM, and optimization, and publishes accessible technical pieces on Medium to demystify advanced 3D and computer vision topics. Based in Rennes, he also teaches applied ML topics (PCA, SVMs, ensemble methods) and brings a rare mix of academic rigor, field-tested embedded vision work, and a marketer’s flair for communicating complex capabilities to nontechnical stakeholders.
8 years of coding experience
3 years of employment as a software developer
Master 2 (M2), Applied Mathematics, Master MVA (Mathématiques, Vision et Apprentissage), Master 2 (M2), Applied Mathematics, Master MVA (Mathématiques, Vision et Apprentissage) at École normale supérieure Paris-Saclay
Classe préparatoire aux Grandes Ecoles (CPGE), MPSI/MP* : Mathématiques, Physique, Admission à Mines ParisTech et à Centrale Paris, Classe préparatoire aux Grandes Ecoles (CPGE), MPSI/MP* : Mathématiques, Physique, Admission à Mines ParisTech et à Centrale Paris at Lycée du Parc
Baccalauréat, Filière Scientifique - Sciences de l'ingénieur, Mention Très bien, Félicitations du Jury, 20.03/20, Baccalauréat, Filière Scientifique - Sciences de l'ingénieur, Mention Très bien, Félicitations du Jury, 20.03/20 at Lycée de la Plaine de l'Ain
Contributions:5 releases, 6 reviews, 1 PR in 2 years 5 months
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Thomas Rouch - R&D Engineer at Towards Data Science