Thi-Duong Nguyen
Software Engineer, AI agent builder, and Robotics researcher
thiduong
New York City Metropolitan Area
New York City
Joined January 2025
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Summary
Thi-Duong Nguyen is an experienced Software Engineer and leader specializing in AI, machine learning, and robotics. He currently builds AI agents for healthcare at Zingage and previously served as CTO and Co-Founder at Endue, where he led engineering and product efforts to modernize infusion center operations; earlier roles include Senior Software Engineer at CloudKitchens and multiple senior autonomy and machine learning positions at Uber, demonstrating a track record of shipping production systems and leading technical teams. highperformr+1
He has deep expertise in autonomous systems and motion prediction, gained through senior roles at Uber's Advanced Technologies Group where his work produced multiple publications and patents in multimodal trajectory prediction, uncertainty-aware motion forecasting, and kinematic vehicle models. google+1
His early research as a Research Engineer at Singapore Management University produced the 'Taxisim' multiagent simulation platform, reflecting strong foundations in multi-agent systems, urban transportation modeling, and applying real-world GPS data to inform system design. google+2
Beyond technical contributions, Thi-Duong combines engineering leadership and entrepreneurship—having co-founded and led teams—while also enjoying hands-on system building and a range of personal interests that reflect a well-rounded perspective useful for product and team leadership. about+2
Work
Education
Writing
Motion prediction for autonomous devices
January 1, 2023Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving
January 1, 2020Deep kinematic models for kinematically feasible vehicle trajectory predictions
January 1, 2020Object motion prediction and autonomous vehicle control
January 1, 2020Predicting motion of vulnerable road users using high-definition maps and efficient convnets
January 1, 2020Multimodal trajectory predictions for autonomous driving using deep convolutional networks
January 1, 2019Measuring the accuracy of map matched trajectories
January 1, 2019Motion prediction of traffic actors for autonomous driving using deep convolutional networks
January 1, 2018Driver location prediction for a transportation service
January 1, 2018Short-term motion prediction of traffic actors for autonomous driving using deep convolutional networks
January 1, 2018Simplifying GPS data for map building and distance calculation
January 1, 2018Identifying a map matched trip from received geographic position information
January 1, 2018ETA phone home: How Uber engineers an efficient route
January 1, 2015Taxisim: A multiagent simulation platform for evaluating taxi fleet operations
January 1, 2011Proposed and constructed a multiagent simulation platform to investigate interactions among taxis and evaluate the impact of management policies, incorporating real-world driver behaviors.
Decentralized decision support for an agent population in dynamic and uncertain domains
January 1, 2011Similar profiles
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