Hoang Tran

Hoang Tran is an applied scientist at Amazon, currently building robust LLM systems for dynamic routing and request decomposition. Previously, Hoang worked as a machine learning scientist at Wayfair, where they developed scalable machine learning models and engineered a monitoring system for data analysis. They have also held roles as a lab intern at the Korea Advanced Institute of Science and Technology and as a lab assistant at both Miami University and Boston University. Hoang is pursuing a PhD in Machine Learning at Boston University, focusing on private and efficient algorithms.