ShotQuality
Leonardo L. is a Computer Vision Engineer with extensive experience in machine learning and computer vision across several organizations. Currently employed at ShotQuality since July 2024, Leonardo previously held a similar position at Atos from June 2021 to July 2024, utilizing NVIDIA frameworks and MLOps tools. Prior to that, Leonardo served as a Computer Vision Research Engineer at dod, focusing on R&D projects from April 2019 to December 2021. Leonardo's earlier roles include IT Consultant at MDP CONSULTING S.A.C, where a facial recognition project was undertaken, and as a researcher at the Centro de Tecnologías de la Información y Comunicaciones CTIC UNI, conducting studies in machine learning and deep learning from January 2015 to March 2019. Additionally, Leonardo worked as a research assistant in a project involving 3D image reconstruction with deep neural networks. Academic qualifications include a Master’s degree in Computer Science from Pontifícia Universidade Católica do Paraná and a Bachelor’s degree in Computer Science from the National University of Engineering.
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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