Jerry Chee is a knowledgeable Sr Software Engineer at Microsoft, focusing on efficient inference for large language models through post-training quantization. They began their career as a Research Assistant at the University of Chicago and later held several internship roles in prominent organizations, including Amazon and Meta. They are currently pursuing a PhD in Computer Science at Cornell University, building on their foundational education in Computational and Applied Mathematics from the University of Chicago. Throughout their journey, they have contributed significantly to projects involving optimization algorithms and machine learning methods.
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