Summary
Yao-chun Chan is a software engineer with a decade of experience and a strong focus on ML, DL, and data science, currently contributing to ads measurement and traffic modeling at Google. He combines academic research—time series, anomaly detection, and graph neural networks—with production impact, having deployed scalable ML APIs and embedding-based recommender and time-series solutions used by thousands to millions of users. Past roles at Expedia and National Taiwan University show breadth across conversational AI, active learning, AutoML, NLP and production data pipelines using Python, TensorFlow, Spark and Scala. He’s completing an MSCS and enjoys tackling diverse coding projects spanning web, systems and ML, often optimizing models for noisy labels and high-sparsity scenarios. Notably, his work has driven measurable business results (e.g., +20% CTR, large-scale automation saving substantial manual hours), reflecting an engineer who bridges research rigor with production-minded delivery.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Bachelor's degree at National Sun Yat-Sen University
Master's degree, Computer Science, 3.8/4.0, Master's degree, Computer Science, 3.8/4.0 at University of California, Riverside
Chinese, English