Taylor Ellett has extensive experience in data science and software architecture, with a strong focus on machine learning and natural language processing. At RetailMeNot, Inc., Taylor developed advanced data pipelines for training and optimizing ranking models. At DISCO, Taylor was instrumental in creating machine learning-driven tools, including an NLP application for extracting information from legal documents and enhancing backend search systems. Currently serving as a Staff Software Engineer at Engine, Taylor leads internal AI services, building on prior experience at General Motors in demand forecasting and mentoring in machine learning practices. Taylor holds a Bachelor of Science degree in Computer Science from Texas Tech University.
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