Seif Ibrahim is a software engineer with extensive experience in back-end development and computational systems. Having worked at prominent companies such as Google, Amazon, and Lawrence Livermore National Laboratory, Seif has contributed to various projects, including developing a pipeline for reporting test results in Amazon's Luna organization and designing a system for derived field generation using Just-in-Time compilation at LLNL. Additionally, Seif served as a graduate teaching assistant at UC Santa Barbara, where responsibilities included implementing autograders and leading instructional sections. Seif holds both a Bachelor of Science and a Master's degree in Computer Science from UC Santa Barbara, each with a GPA of 3.95.
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