William Hoynes is an innovative data scientist and engineer with a BS in Industrial Engineering and an MS in Analytics from the Georgia Institute of Technology. They have experience in machine learning, deep learning, natural language processing, computer vision, and generative models. William has worked as a petroleum pipeline inspector at Titian Corrosion, Inc., a software engineer intern at Asset Preservation Advisors, and a senior data scientist at UPS, where their roles included LLM Ops and GenAI for contact centers. Always eager to connect with fellow innovators, William remains active in the field of customer service and data analytics.
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