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Nathan Neff-Mallon is an accomplished Machine Learning Software Engineer currently employed at ColdQuanta since July 2021, having previously held roles as a Software Success Engineer. Prior experience includes a tenure at PerBlue from April 2019 to July 2021 as a Data Analyst, where Nathan developed and optimized machine learning models while also managing production pipeline processes. Prior to that, Nathan worked as a Data Capture Analyst at Extract Systems, focusing on software performance evaluation for document processing tools, and served as a Ph.D. student at the University of Wisconsin-Madison, contributing to advanced research involving ultrafast lasers. Education credentials include a Master's degree in Inorganic Chemistry from the University of Wisconsin-Madison and a BA in Chemistry from Whitman College.