Enze Yuan is a software engineer based in Mountain View with four years of hands-on experience building production-ready systems across industry and research. He has delivered scalable services at Google and completed internships at AWS and DB Schenker, where he built a realtime chat web app using retrieval-augmented generation, hybrid embeddings, and Dockerized CI/CD pipelines that boosted search F1 from 0.6 to 0.83. His research work at the University of Michigan improved AR player motion detection to a 96% true positive rate using C++ and OpenCV, demonstrating a strong foundation in computer vision and algorithm tuning. Trained in AI at Carnegie Mellon and with a CS undergraduate background from Michigan, he bridges modern ML techniques and robust engineering practices. He has practical experience implementing security hardening, retrieval and reranking algorithms, and production APIs—skills that make him effective across the full stack of ML-infused applications. Colleagues would note his knack for combining research-grade methods with pragmatic deployment to turn prototypes into reliable services.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Michigan
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Carnegie Mellon University
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