Rachel Dong is an accomplished AI/ML Engineer with extensive experience in various domains, including games and traffic systems. Currently employed at Sigma since September 2025, Rachel previously held the position of Research Scientist at Riot Games, focusing on generative AI and large language models for gaming from January 2024 to October 2025. Prior experience includes a role as a Machine Learning Engineer at Cruise, specializing in scene understanding for traffic management, and as a Senior Machine Learning Engineer at Unity, where Rachel contributed to the development of 3D volumetric capture technology and the Unity ML-Agents Toolkit. Additionally, Rachel gained research experience as a Research Assistant Intern at Cornell Tech and a Research Assistant at Academia Sinica in Taiwan, where work on chatbot negotiation and named entity recognition led to significant contributions in the field. Rachel holds a Master of Science in Computer Science from Carnegie Mellon University and a Bachelor's degree in Electrical Engineering Technologies from National Tsing Hua University.
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