Kai Wang is a digital data scientist and machine learning engineer with a decade of experience applying NLP, topic models, autoencoders and LightGBM to finance and product problems. He has built end-to-end data mining and risk/collection models at companies ranging from Alibaba and Sina Finance to Mars, and earlier combined genomics assembly and data visualization at a national research institute. Comfortable bridging research and production, Kai has repeatedly translated complex data sources into deployable models and analytics pipelines. Based in Haidian, Beijing, he blends a bioengineering and chemical engineering academic background with hands-on ML engineering—an uncommon cross-disciplinary foundation that informs his practical approach to feature engineering and model design.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Chemical Engineering and Technology, 3.31, Master's degree, Chemical Engineering and Technology, 3.31 at Beijing University of Chemical Technology
Contributions:18 pushes, 1 branch in 7 years 7 months
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