Yiling Yuan is a skilled software engineer with experience in artificial intelligence research and software development. At the University of Virginia, Yiling served as an Artificial Intelligence Research Assistant, contributing to the paper "RELIANT: Fair Knowledge Distillation for Graph Neural Networks," accepted for presentation at the 2023 SIAM Conference. Subsequent internship experience at 快手 was followed by a significant role as a Software Engineer for the CMU Capstone Project at Swift, where Yiling developed a scalable microservice architecture on AWS, built a web application with Spring Boot and React, and implemented dynamic testing environments. Yiling continued to enhance skills at Salesforce, improving service distribution and automating sandbox recovery, before joining Google as a Software Engineer working on TorchTPU. Yiling holds a Bachelor of Engineering from Beijing University of Posts and Telecommunications and is pursuing a Master of Science at Carnegie Mellon University.
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