Zheng Li
Amazon Store Foundation Modeling (Rufus), Founding Member Lead Scientist
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolZheng Li is a lead scientist and founding member of Amazon’s Rufus foundation modeling team, bringing a decade of applied research and production ML experience to building generative and search-driven systems. With a Ph.D. from HKUST and prior stints on Amazon Search (A9) and Google Research NLX, he blends deep academic grounding with hands-on experience shipping query understanding and large-model features at scale. Based in Palo Alto, he focuses on bridging research and productization—turning novel modeling ideas into robust store and search capabilities. Colleagues rely on him for pragmatic solutions that balance efficiency, relevance, and real-world constraints, and his background includes multi-company research internships that hint at a strong cross-industry collaboration network.
10 years of coding experience
Bachelor of Engineering (B.Eng.) Department of Data and Computer Science, Bachelor of Engineering (B.Eng.) Department of Data and Computer Science at Sun Yat-sen UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (18)
cross-domain10
hierarchical10
aspect10
sentiment-classification10
self-attention10
adversarial-learning10
classification9
wandb9
sentiment9
pytorch7
deep-learning7
nlp7
leaderboard6
natural-language-processing6
evaluation5
Programming languages (2)
Github contributions (5)
hsqmlzno1/Transferable-E2E-ABSA
Aug 2019 - Nov 2019
Contributions:55 commits, 53 pushes, 1 branch in 3 months
hsqmlzno1/MGAN
Nov 2018 - Nov 2019
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)
Contributions:26 commits, 2 PRs, 20 pushes in 1 year
pytorchnlpexploitingdeep-learningaspect
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