Samuel Chang is a highly accomplished electrical engineer with a diverse professional background. After graduating from Stanford University, he began his career as a research student and intern, gaining experience at institutions like NASA Ames Research Center and Weizmann Institute of Science. He then worked as a System Validation Engineer at Intel Corporation before joining Samsung Electronics as a Senior Systems Engineer. During his time at Samsung, Samuel worked on projects such as optimizing GPU performance for mobile devices. He also worked as a freelance engineer, with clients ranging from small startups to multinational corporations.

Currently, Samuel works on machine learning/artificial intelligence silicon optimization at Amazon Web Services. His expertise in electrical engineering spans a wide range of fields, including wireless applications, system validation, and research. His past experience in cancer research and partnership with NASA showcases his diverse skill set and willingness to adapt to new challenges.