Maggie Zhang is a skilled AI/ML Customer Engineer with experience at Google from August 2021 to October 2022, where work involved assisting enterprise customers with GCP AI/ML products, focusing on ML Infrastructure and data pipelining, while driving product influence through customer feedback. As a Cloud Technical Resident, participation in a 12-month accelerated training program allowed for rotation through various customer-facing roles, and continued contributions included mentoring new residents. Prior experience includes serving as a Backend Software Engineer at the UC Berkeley XR Lab, developing virtual experiences for architecture students using AWS and Unity, and working as a Research Assistant at Wake Forest Baptist Health, where data processing in MATLAB significantly improved efficiency and contributed to predictive modeling in neuroscience. Educational credentials include a Master's degree in Electrical Engineering and Computer Sciences from the University of California, Berkeley, and a Bachelor's degree in Computer Science and Psychology from Wake Forest University.
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