Pengqi L. has a diverse background in research and software engineering, with experience in developing innovative technology. At the University of Michigan, Pengqi contributed as a research assistant on the iGYM project, focusing on inclusive augmented reality applications, leading to the publication of a first-author paper accepted at SiPS 2020. Following this, Pengqi served as a research engineer intern at TuSimple, where benchmarking algorithms for construction zone detection were developed. Currently, as a software engineer at Meta, Pengqi works as a full-stack developer on an AI labeling platform designed to enhance machine learning model development. Pengqi holds a Master of Science degree in Electrical and Computer Engineering from Carnegie Mellon University.
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