Víctor Guerra is a Ph.D.-trained computer vision researcher and engineer with nine years of experience applying deep learning to camera pose estimation, keypoint matching and local descriptor design. Based in A Coruña, he blends academic rigor from Universidad de Córdoba with industry practice at Nemotec and prior roles in augmented reality and R&D, shipping vision systems for image analysis and AR. His work spans signal processing to convolutional networks, with a track record of moving methods from research prototypes to production-relevant solutions. Notably, he combines hands-on model development with domain expertise in fiducial markers and practical pose pipelines, making him adept at solving both theoretical and implementation challenges.
9 years of coding experience
4 years of employment as a software developer
Ph.D. in Computer Science, Computer Vision, Ph.D. in Computer Science, Computer Vision at Universidad de Córdoba
B. Sc., Technical Engineering in Computer Systems, B. Sc., Technical Engineering in Computer Systems at University of Córdoba
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Víctor Guerra - Deep Learning & Machine Learning at Nemotec