Summary
Ruining He is a Staff Software Engineer in Mountain View with 13 years of experience specializing in recommender systems and NLP, including bandit systems for YouTube and LLM-driven recommendation and search at Google DeepMind. He holds a Ph.D. in Computer Science from UC San Diego and has 12+ years of research output with 12,000+ citations, reflecting deep academic impact applied to production-scale problems. His background spans research and engineering roles at Google Research, Pinterest, and Amazon, where he built scalable graph convolutional networks and Transformer-based recommendation models. Known as a manager and infrastructure maintainer on GitHub, he blends leadership with hands-on system design to ship robust ML infra. Notably, he bridges cutting-edge NLP research and real-world personalization, turning high-citation ideas into high-throughput, user-facing systems.
13 years of coding experience
11 years of employment as a software developer
University of California, San Diego
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Hebei University of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Tsinghua University
English, Chinese