Samuel Fuller is a Senior Embedded Software Engineer at Google, with extensive experience in Electrical and Computer Engineering. They graduated with a Master's degree focused on computer vision within FPGAs from Brigham Young University, where their thesis involved the implementation and optimization of a feature descriptor for digital hardware. Samuel's professional background spans roles at companies like Intel Corporation and Lawrence Livermore National Laboratory, where they honed their skills in circuit design, VHDL coding, and embedded software development. Consistently recognized as a high performer, Samuel possesses a deep curiosity for technology and a commitment to meticulous engineering practice.
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