Bailey Qin is an accomplished professional with a strong background in data science and machine learning. With experience as a Data Scientist at The Johns Hopkins University Applied Physics Laboratory from July 2019 to April 2022, Bailey transitioned to a role as a Senior Applied AI Engineer at Rate from April 2022 to November 2024, where notable projects included automating mortgage document extraction, maximizing personal loan response rates using advanced models, creating product recommendation systems, and implementing LLMs for summarizing customer support transcripts. Currently, Bailey serves as a Software Engineer in Machine Learning at Meta since November 2024. Academically, Bailey holds a Master of Science in Computer Science and a Master of Arts in Chemistry from the University of Southern California, along with a Bachelor of Science in Chemical Physics from the University of California, Davis.
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