Summary
Xuhan Yang is a Machine Learning Engineer with 13 years of experience focused on causal analysis, symptom prediction, and anomaly detection for large-scale autonomous driving datasets. Currently at Adobe after recent engineering and test roles at Zoox and TuSimple, Xuhan bridges research and production, moving models from experimental prototypes into robust deployment. Their background combines an MS in Computer Science and a BS in Human-Computer Interaction from UC San Diego, enabling a user-centered approach to technically complex ML systems. Notably, they have deep domain experience in perception and fleet-scale diagnostics for autonomous vehicles, often tackling noisy, real-world sensor data and causal inference challenges. Based in New Jersey, Xuhan brings both research rigor and hands-on software engineering discipline to cross-functional teams.
13 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Chinese, English