Iñigo Ruiz is a Senior Applied Scientist with 11 years of experience specializing in deep learning and computer vision, currently driving ML/CV research and production work at Amazon. He holds a PhD-level research background from the University of Zaragoza and has bridged academia and industry through roles at ETH Zürich, Lyft's self-driving division, and multiple research positions in Aragon. Iñigo has progressed from research assistant and PhD student to applied scientist roles, blending rigorous research methodology with hands-on engineering to deploy vision systems at scale. His experience includes internships and collaborations that exposed him to both large-scale industry problems and advanced computer vision techniques. Based in the Greater Zaragoza area, he combines European research roots with global industry experience, making him adept at translating novel CV models into operational solutions. An understated strength is his track record of moving between research and production contexts—suggesting strong skill in reproducible, deployable ML engineering.
11 years of coding experience
6 years of employment as a software developer
PhD in Deep learning and Computer Vision (Artificial Vision), PhD in Deep learning and Computer Vision (Artificial Vision) at Universidad de Zaragoza
BMVA Computer Vision Summer School, BMVA Computer Vision Summer School at University of Lincoln
Contributions:19 commits, 16 pushes, 1 branch in 7 months
deep-learningtensorflowsegnet
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