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Cooper Raterink
Exploring in the Edtech X Generative AI space
Cooper Raterink is a highly educated individual who is currently focused on revolutionizing language learning.
Raterink pursued a Master's degree in Computer Science with a specialization in AI from Stanford University and excelled with a Bachelor's Degree in Electrical and Electronics Engineering from The University of Texas at Austin.
His professional journey includes roles such as Machine Learning Engineer at Hebbia AI and Cohere, contributing to the Election Integrity Partnership and the Stanford Institute for Economic Policy Research, and serving as an Instructor in the CS Department at Stanford University.
Currently, Raterink is engaged in exploratory endeavors at Stealth to enhance the language learning experience.
With a rich background in AI, machine learning, and education, Cooper Raterink is a dynamic professional driving innovation in language acquisition.