Mohit Jeste is a Machine Learning Engineer at Peloton Interactive, actively working to revolutionize the intersection of computer science and everyday life. They previously held positions as a Deep Learning Engineer at View, Inc., where they developed machine learning solutions for yield improvement projects, and as a Deep Learning Intern at Norfolk Southern Corporation, achieving remarkable accuracy in detecting rail components. Mohit also contributed as a Graduate Research Assistant at The University of Texas at Arlington, developing essential API metrics and training advanced language models. They earned a Bachelor's degree in Information Technology from Motilal Nehru National Institute of Technology and a Master's degree in Computer Science from The University of Texas at Arlington.
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