Summary
Xufeng Liu is an algorithm engineer in Beijing with 11 years of experience specializing in data mining and personalized recommendation systems, complemented by full-stack development and team management. He has driven recommendation and risk-control projects at companies like DangDang and CreditEase, improving model AUCs and building data pipelines with Hadoop, Flume, and Elasticsearch. Proficient in Python, SQL, Spark, MapReduce and a wide range of ML algorithms (LR, SVM, CF, RF, ANN, LDA, etc.), he pairs strong algorithmic intuition with practical engineering to move models into production. With a master’s in geophysics from Wuhan University, he brings a quantitative, research-oriented mindset to product problems and an uncommon background that informs his data-driven planning and system design.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Solid Geophysics, top 5, Master's degree, Solid Geophysics, top 5 at Wuhan University