Summary
Shuo Wang is a Senior Systems Engineer at NVIDIA with a decade of experience applying AI to intelligent transportation, smart cities, and autonomous vehicles. He combines deep learning expertise—CNNs for multi-object detection and LSTMs for motion and flow prediction—with practical systems work, from maintaining a 50TB Hadoop traffic database to building sensor fusion testbeds using LiDAR, radar, and cameras. At NVIDIA he turned research prototypes into smart-city demos integrating detection, tracking, prediction, and 2D-to-3D projection, and supported the international AICity Challenge by preparing datasets and evaluation pipelines. Comfortable spanning research, data engineering, and product-focused system integration, he holds advanced degrees in transportation and civil engineering and a self-driving car nanodegree, reflecting a rare blend of domain knowledge and production ML engineering.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Civil Engineering, Doctor of Philosophy (PhD), Civil Engineering at Iowa State University
Master of Science (MS), Transportation planning & management, Master of Science (MS), Transportation planning & management at Beijing Jiaotong University
Self-driving Car Nano-degree, Autonomous vehicle, AI, Self-driving Car Nano-degree, Autonomous vehicle, AI at Udacity
Master of Science (M.S.), Civil Engineering, Master of Science (M.S.), Civil Engineering at University of Nebraska-Lincoln
English, Chinese