Summary
Lucas Liu is a seasoned software and algorithm engineer with 11 years' experience building large-scale search, recommendation, and click-prediction systems across Baidu, NetEase, and Qihoo 360. He combines deep expertise in big data stacks (Spark, Hadoop, Hive, MPI) with hands-on modeling work—FTRL, GBDT, DNN/CNN, DSSM—and practical feature engineering for learning-to-rank and click-feedback loops. Lucas has a strong interest in distributed machine learning and deep learning, and his open-source work includes enhancing a Go xls library with hyperlink, formula, and time-cell support, showing attention to robust parsing and interoperability. Based in Haidian, Beijing and educated at Beihang University, he brings a rare mix of production engineering, algorithmic depth, and low-level systems contributions.
11 years of coding experience
6 years of employment as a software developer
Beihang University
English