Julie Kallini is an experienced educator and software engineer with a strong focus on machine learning and computer science. Currently an Instructor at Uplimit since February 2022, Julie guides students in designing models for classification and regression using Python. Previously, Julie served as a Software Engineer at Meta, contributing to privacy-aware advertising through machine learning and content understanding. In academia, Julie has held various teaching assistant positions at Princeton University, including Head Teaching Assistant for a Machine Translation course, demonstrating a solid background in instructional support and curriculum design. Julie is pursuing a PhD in Computer Science at Stanford University, building on a Bachelor of Science in Engineering from Princeton University.
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