Lizzi Yin is a skilled software engineer with a diverse background in algorithm development and education strategy. Starting with an internship at Unisound, Lizzi developed a speech separation product using deep learning, followed by building a subscription propensity machine learning model at Bloomberg LP, generating significant revenue. At Google, Lizzi expanded expertise in software engineering from August 2019 to June 2024 before joining Meta to work on AI inference infrastructure. Additionally, Lizzi led a team at Expii, Inc. to create innovative math problems under the guidance of Professor Po-shen Loh. Lizzi holds a Bachelor of Science in Computer Science with a minor in Mathematical Science from Carnegie Mellon University, completed in 2019.
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