FamilySearch
Daniel Segrera is a Machine Learning Engineer with expertise in artificial intelligence, natural language processing, and computer vision, currently employed at FamilySearch since November 2022. Previously, Daniel served as a Research Team Lead at Brigham Young University from June 2021 to May 2023, where innovative models for entity extraction were developed and productivity among lab members was significantly enhanced. Earlier experience includes a role as a Data Systems Engineer at Boeing, focusing on deep learning research and improving safety metrics for military systems. Daniel has a strong foundation in computer science, holding a Master of Science degree from Brigham Young University, complemented by extensive research and development experience across multiple roles, including software engineering and web development.
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