Chloe Muncy is an Artificial Intelligence Engineer at Northrop Grumman, specializing in rapid prototyping and applied research in the AI/ML domain since January 2023. Muncy developed a natural language processing project using PyTorch, achieving significant cost savings of $60 million per year through the clustering of manufactured part defects. Prior experience includes serving as a Graduate Research Assistant at the University of Cincinnati, focusing on authorship attribution and text classification research using Graph Convolutional Networks and Language Models. Muncy has also worked as a Software Engineer Intern and a Data Scientist Intern at Northrop Grumman and Honeywell, respectively, where expertise in signal processing and time series analysis was demonstrated. Muncy holds a Master of Science in Computer Science and a Bachelor's degree in Computer Engineering, both from the University of Cincinnati.
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