Stanley Kuang Lee has extensive experience in machine learning and software engineering, with a strong academic background that includes a Bachelor of Science in Computer Science & Information Engineering and a Master of Science in Computer Science. Notable positions include Machine Learning Engineer roles at LinkedIn and Meta, focusing on enhancing feed quality and leveraging deep learning models for user engagement on Instagram. Previous experience includes significant contributions as a Machine Learning Engineer at Yelp, where Stanley redesigned data logging pipelines, and as a software engineer at Hitachi Vantara, leading the Lantern project and improving performance through innovative service designs. Additionally, Stanley has experience as a research assistant at both the San Diego Supercomputer Center and National Taiwan University, demonstrating a solid foundation in data analysis and visualization.
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