Taylor Shin

Taylor Shin is an Applied Scientist at Amazon, specializing in AI and machine learning. Previously, Taylor served as a Machine Learning Engineer at Embodied, Inc. and an Applied Scientist at Altum, focusing on advanced techniques in natural language processing and data mining. Taylor has contributed significantly to research in convolutional neural networks and has been a main author on a paper presented at the 2020 EMNLP conference. With a Master's in Computer Science from UC Irvine, they also gained valuable experience in software engineering roles at Blizzard Entertainment and as a teaching assistant.