ShotQuality
Francisco Gómez-Fernández is a seasoned Computer Vision Engineer with extensive experience spanning multiple roles in leading organizations. Currently employed at ShotQuality since December 2022, Francisco previously worked at DeepGlint as a Computer Vision Engineer and Senior Research Scientist, where key projects included the development of a fault diagnosis system for high-speed trains and innovative methods for 3D scanning and point cloud processing. Prior roles included positions at Sinapsis focusing on machine vision for microfracture detection, and TeraCode working on virtual clothing try-on applications. As a Postdoctoral Researcher at CONICET, Francisco contributed to advancements in surface reconstruction and UAV-based photogrammetry. Educational credentials include a PhD and an MS in Computer Science from the University of Buenos Aires. Proficient in various programming languages and technologies such as Python, C++, OpenCV, and TensorFlow, Francisco exhibits strong capabilities in both research and practical applications within the field.
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ShotQuality
The goal of ShotQuality is to dispel the luck of the game and deliver the expected results based on the accuracy of each shot’s quality, rather than just make or miss. There are over 90 different variables involved in calculating ShotQuality. Overall, we have over 60 NCAA D-1 teams subscribed including the likes of Auburn, Arizona, and StanfordUniversity