Michael is a Senior CV/ML Engineer at John Deeres Tractor AI division, describing his role as a "full stack deep learning scientist. " With a Ph. D. in Computer Science from Auburn University, he specializes in designing, training, and deploying deep learning models for LiDAR and RGB perception in safety-critical autonomous environments.
Outside of his main role, Michael has a strong interest in sports analytics. He previously worked as a Deep Learning Fellow for the Cleveland Indians (now Guardians) and developed machine learning models to inform game strategy. His personal projects have also included analyzing social networks in American football.
His paper on using neural networks to model baseball talent, "(batter|pitcher)2vec, " was a prize-winner at the 2018 MIT Sloan Sports Analytics Conference.
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