Samuel Smith is a highly skilled software engineer with extensive experience in device modeling and machine learning applications. Smith's career includes a prominent role as a Graduate Student Researcher at UC Berkeley, focusing on advanced topics such as non-equilibrium Green's function modeling and high-performance computing. Samuel interned at Intel Corporation, contributing to device simulation before advancing to positions at Google, where contributions spanned from the Borg Control Plane team to developing infrastructure for large language models. Currently, Samuel serves as a Staff Software Engineer at Google, building on a strong educational foundation that includes a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley and a B.S. in Computer Engineering from the University of Florida.
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