Luke Bhan is an experienced applied scientist at Amazon since June 2025, focusing on the design of reliable and interpretable large language model auditing agents for time-series forecasting. Currently a graduate student at UC San Diego, Luke previously served as a teaching assistant at Vanderbilt University, where responsibilities included grading assignments and conducting office hours for a course on software design patterns and C++ programming. Luke's professional experience also includes software engineering roles at MongoDB, T-Mobile, and ownable, with notable contributions such as implementing data compression for MongoDB's time-series data and developing full-stack applications. Additionally, Luke conducted research at the University of Delaware, contributing to the UDSSC lab and exploring autonomous vehicle technologies. Luke holds a Master's degree in Computer Science from Vanderbilt University and is pursuing a PhD in Computer Science at UC San Diego.
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