Summary
Shuyang Sheng is a software engineer with 12 years of experience specializing in large-scale machine learning and distributed data systems, currently building ML infrastructure at Google in Los Angeles. He has deep hands-on expertise with the Hadoop/HBase/Hive/Spark ecosystem and has designed streaming and batch pipelines that process tens of millions of events daily. At true[X] he led core infrastructure for uplift modeling, A/B experimentation and a custom Airflow operator ecosystem, and earlier improved ad retargeting performance by 25% through feature and attribution innovations. His background blends research-grade computer vision and probabilistic modeling from USC with production C++/Python/TensorFlow engineering, enabling him to bridge algorithmic research and reliable operationalization. Notably, he has built in-house data lakes, monitoring and model-refresh systems and contributed to survey-based measurement tooling that reduces noise in user feedback. He combines academic rigor with pragmatic system design, favoring scalable, testable pipelines that serve both data scientists and production needs.
12 years of coding experience
9 years of employment as a software developer
Master's, Electrical Engineering, 3.9, Master's, Electrical Engineering, 3.9 at University of Southern California
B.S, Electrical Engineering, B.S, Electrical Engineering at Dalian University of Technology
Chinese, English