Dai Shengqi

Algorithm Engineer at ByteDance

Changning District, Shanghai, China
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Summary

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Dai Shengqi is an Algorithm Engineer with nine years of cross-disciplinary experience applying NLP to ecology, bibliometrics, and computational advertising. He holds a PhD in Ecological Informatics from Fudan University and blends rigorous academic research with product-focused engineering at ByteDance. Previously he led dialogue systems, automated knowledge-graph generation, DNN recommendation engines, and core search modules at 51job, demonstrating end-to-end ownership from research to production. Based in Shanghai, he is known for exploring novel intersections—bringing ecological insight into NLP pipelines—which informs pragmatic solutions in ad ranking and recommendation systems.
code9 years of coding experience
job3 years of employment as a software developer
bookBiology/Biological Sciences, General, Biology/Biological Sciences, General at Sichuan University
bookAssociate Degree, Natural Sciences, Associate Degree, Natural Sciences at University of Washington
bookDoctor of Philosophy (Ph.D.), Ecological Informatics, Doctor of Philosophy (Ph.D.), Ecological Informatics at Fudan University
languagesEnglish, Japanese
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Github contributions (4)

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Contributions:38 commits, 34 pushes, 2 branches in 2 years 9 months
Contributions:31 pushes, 1 branch in 1 year 9 months
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Dai Shengqi - Algorithm Engineer at ByteDance