Summary
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.
9 years of coding experience
3 years of employment as a software developer
Biology/Biological Sciences, General, Biology/Biological Sciences, General at Sichuan University
Associate Degree, Natural Sciences, Associate Degree, Natural Sciences at University of Washington
Doctor of Philosophy (Ph.D.), Ecological Informatics, Doctor of Philosophy (Ph.D.), Ecological Informatics at Fudan University
English, Japanese