Brian Lee is a computer science graduate from Carnegie Mellon University with a robust background in software engineering and research. Experience includes serving as a Teaching Assistant for the Principles of Imperative Computation course, where Brian taught algorithm and data structure concepts, and collaborated to enhance online learning engagement. As an Undergraduate Research Assistant with the Yaron Research Group, Brian improved machine learning models within a quantum chemistry framework. A Software/Algorithm Intern at KLA, Brian researched and developed a gRPC Arrow-Flight Client Server to effectively handle large datasets. At the University of Pittsburgh, Brian analyzed addiction patterns in neural cells using machine learning techniques and developed predictive models. A Software Engineer at Meta, Brian designed infrastructures that significantly increased user engagement and worked on cross-platform enabling projects while also performing software development for virtual reality applications.
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