Yuanda Du is a machine learning engineer with nine years of experience building scalable ML systems, currently working at Google in Mountain View. He has hands-on expertise in productionizing large-scale training pipelines—at Ant Financial he implemented partitioned model training capable of training over a million models concurrently and contributed XGBoost/LightGBM PMML improvements back to jpmml-xgboost. His background includes applied deep learning for medical imaging (Inception-v3 and FCN on multi-GPU setups achieving industry-level accuracy) and practical experience optimizing Spark and native XGBoost workflows. Trained in computer science at Shanghai Maritime University and USC, he combines research-caliber model work with production engineering savvy and a track record of open collaboration.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science(general), Master's degree, Computer Science(general) at University of Southern California
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Maritime University
Contributions:17 commits, 17 pushes, 1 branch in 2 months
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