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Dylan Bragdon is a Data Engineer at MedWatchers since October 2021, specializing in creating automated data pipelines for MTM and healthcare services. Prior experience includes serving as an NLP Engineer at the U.S. Census Bureau, where Dylan built and optimized information-extraction pipelines and developed an ETL pipeline for user feedback data. Earlier roles consist of a Machine Learning/NLP Intern at the Advanced Continuing Education Association, where Dylan developed a recommendation algorithm and prototyped applications, and a Teaching Assistant at UC San Diego, providing instruction on data science modeling in Python and using key libraries. Dylan holds a degree in Cognitive Science with a focus on Machine Learning and Language Processing from UC San Diego, earned in 2020.