Tome Radman is an experienced professional in the field of computer vision and data science. Currently serving as the Computer Vision R&D Team Lead and previously as a Computer Vision Engineer at Gideon since November 2019, Tome has a strong background in applying deep learning models to computer vision and natural language processing, gained during an internship at Styria.ai from July 2018 to November 2019. Prior experience includes working as a Student Assistant at FER, where Tome assisted with courses in Machine Learning, Text Analysis and Retrieval, and Artificial Intelligence, and a Software Engineering Intern role at CROZ, focusing on backend development in Java and the Spring framework. Tome holds a Master’s degree and a Bachelor’s degree in Computer Science from FER, obtained between 2014 and 2019.
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