Soft Han
Guangzhou City, Guangdong Province, China
Summary
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SeniorRujun Han is a research scientist with a CS PhD specializing in natural language processing and machine learning, and nine years of industry experience applying research to production AI services. Currently at Google after contributing to AWS AI products, he led research on RAG QA, LLM evaluation, and controllable generation for Kendra and Amazon Q for Business. His background spans financial and enterprise domains—from the Federal Reserve Bank of New York to Commonwealth Bank—bringing rigor in evaluation and real-world constraints to model design. Trained at USC and NYU with an economics BA from Hamilton College, he blends strong theoretical foundations with practical data-science instincts. Known for translating cutting-edge research into customer-facing features, he also carries experience across both research and applied scientist roles that bridge labs and large-scale systems. Based in Guangzhou, he pairs global collaboration experience with a track record of shipping evaluated, controllable NLP systems.
10 years of coding experience
Github Skills (62)
ios10
mobile-development10
windows10
app-framework10
cross-platform10
android-image10
android-library10
material-design10
android10
okhttp10
skia10
mobile10
web-framework10
macos10
recyclerview10
Programming languages (5)
Github contributions (5)
artem-2024/flutter_kit
Jul 2022 - Nov 2022
Contributions:17 commits, 73 pushes, 6 branches in 4 months
oreo/core
Sep 2016 - Dec 2016
Contributions:12 commits, 11 pushes in 2 months
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