Yan Shao
Staff Engineer (PI) at 之江实验室 Zhejiang Lab
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolYan Shao is a Staff Engineer and principal investigator at Zhejiang Lab with nine years of experience applying neural networks to natural language processing and production-scale algorithm systems. He previously worked as an Algorithm Expert on AliMe at Alibaba, and his research background includes a PhD in Computational Linguistics from Uppsala University and academic work on automatic text summarization and sentiment analysis. Yan bridges deep academic expertise and industrial deployment, moving NLP models from research prototypes into customer-facing services. Based in Hangzhou, he combines strengths in language technology, web systems, and SEO-informed product thinking from earlier full-stack and analyst roles. Colleagues describe him as technologically curious and unafraid to experiment with new approaches to language understanding. Outside formal bios, he brings a confident, personable presence that helps translate complex models into practical solutions.
9 years of coding experience
1 year of employment as a software developer
Sciences, Sciences at Yinchuan N0.9 Middle SchoolBachelor of Arts (BA), Chinese Language and Literature, Computer Sciense, Bachelor of Arts (BA), Chinese Language and Literature, Computer Sciense at Peking UniversityDoctor of Philosophy (PhD), Computational Linguistics, Doctor of Philosophy (PhD), Computational Linguistics at Uppsala University
Chinese, English, Swedish, Spanish, German
Github Skills (7)
pos-tagger10
gru10
crf10
bidirectional9
segmentation9
pos9
semantic-segmentation7
Programming languages (1)
Github contributions (5)
yanshao9798/tagger
Mar 2017 - Mar 2018
Contributions:61 commits, 1 PR, 76 pushes in 1 year
segmentationchinesegrupospos-tagger
yanshao9798/segmenter
Jun 2017 - Apr 2019
Universal segmenter based on the Universal Dependency framework, written by Y. Shao, Uppsala University
Contributions:1 release, 25 commits, 1 PR in 1 year 9 months
segmentationuppsalasemantic-segmentationsegmenter
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