Summary
Yao Gu is a software engineer with 11 years’ experience building ML-driven search and personalization systems, currently improving generative search quality at Google by turning user feedback into actionable model signals. He has driven production projects at Amazon and TripAdvisor—building large-scale personalized recommendation and low-latency services—and earlier research work applied ML and graph embedding to humanitarian and crisis informatics problems. At Google he pioneered LLM-based grounding and an NLP-powered feedback analysis pipeline that reduces manual review and flags factuality risks, and contributed to PyTorch/XLA–JAX interoperability work. Based in California, he blends research-grade experimentation with production engineering, often focusing on automating feedback loops and prioritization to accelerate model improvements. An understated strength is his history of shipping end-to-end systems that bridge applied research, scalable data pipelines, and practical product impact.
11 years of coding experience
4 years of employment as a software developer
Master, Applied Data Science, Master, Applied Data Science at University of Southern California
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Sun Yat-Sen University