Ke Li is a software engineer with a strong background in data engineering and personalization technology. Experience spans various notable companies, including Integral Ad Science, Amazon, Amplero, and Google, with a focus on developing and maintaining ETL systems, recommendations for Prime Video and Amazon Fresh, and creating artificial intelligence solutions for personalized marketing. Ke Li began a career as an instructor at App Academy, teaching web development, and has contributed to advanced projects at Google involving streaming data processing frameworks. Academic credentials include a Bachelor of Science in Physics from the University of Michigan and a Machine Learning Engineer Nanodegree from Udacity.
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