Tevis Gehr is a Principal Machine Intelligence Architect at SRC, leading the core machine intelligence team for the Machine Intelligence and Autonomy Center of Excellence since January 2020. Prior to this role, Tevis served as a Machine Intelligence Engineer focusing on machine learning applications for signal processing and computer vision. Experience includes working as a Machine Learning Research Engineer at KickView Corporation and various engineering roles at Sundyne, including a Mechanical Process Automation Engineer and quality engineer after an internship. Tevis also completed internships at Woodward, Inc., JKV Engineering, and NOAA. Educational qualifications include a Master of Science in Computer Science from the Georgia Institute of Technology, a Bachelor's Degree in Mechanical Engineering from Colorado State University, a Data Science Immersive from Galvanize, and a Deep Learning Foundations Nanodegree from Udacity.
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