Summary
Rujun Han is a research scientist at Google with 9 years of experience spanning NLP, ML, and data science. He previously built and evaluated enterprise AI at AWS, serving as an Applied Scientist and leading research in RAG QA, LLM evaluation, and controllable generation for Kendra and Amazon Q. He holds a PhD in Computer Science from USC, with an MS in CS from USC and an MS in Data Science from NYU, adding a strong academic foundation to production-ready research. Earlier in his career, he applied data science in finance at the Federal Reserve Bank of New York and Commonwealth Bank. Based in Sunnyvale, CA, he blends rigorous academic training with hands-on engineering to translate complex research into scalable systems. He thrives at the intersection of research and product, driving innovations in NLP and AI services.
10 years of coding experience