About

Michelle Xiao is a highly skilled Software Engineer with over a decade of experience designing and building large-scale distributed systems. Her expertise includes working on the Search platform, Online/Offline feature stores, and ML Classification of 10 billion+ ASINs. She has also worked on cutting-edge Machine Learning Training and Inference Platforms such as PyTorch DL frameworks, Triton Server, AWS Inferentia, and AWS Sagemaker. Michelle is an expert in leading developers in Agile for fast delivery of high-quality, high-performance products. She is an innovator who applies cutting-edge industry technologies to real-world problems. Her current position is as a Software Engineer at Amazon, where she continues to hone her skills and expertise in software engineering and machine learning. Prior to joining Amazon, Michelle worked as a Senior Software Engineer at Amex and Juicero, where she gained experience in developing software for financial services and food technology industries. Michelle holds a Doctor of Philosophy degree in Planetary Astronomy and Science from Caltech, where she also earned her Master's degree in the same field. She earned her Bachelor of Science degree in Physics School from Peking University. Michelle's technical skills include AWS, ML, Sagemaker, Deep Learning, Search, and Pytorch. With over 13 years of relevant experience, Michelle is a highly sought-after software engineer who is always looking for new challenges to tackle.