Summary
Fangbing Lv is a lead specialty software engineer with nine years of experience applying machine learning and data engineering to cybersecurity and financial services. Currently spearheading AI capabilities and innovation at Wells Fargo, he blends quantitative modeling, end-to-end analytics, and visualization expertise to translate complex data into actionable business decisions. His background spans machine learning science, team leadership, and production analytics built on Azure, SQL, Python, R and D3, with prior roles delivering secure, access-controlled dashboards and automated data pipelines. Trained across engineering and health informatics—holding advanced degrees from Jiangnan University and UNC Charlotte—he uniquely pairs rigorous technical depth with domain sensitivity for regulated environments. Known for being a quick, self-motivated learner and "deep thinking" problem solver, Fangbing often bridges research-minded approaches with pragmatic, production-grade solutions.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Health Informatcis & Analytics, Master's degree, Health Informatcis & Analytics at University of North Carolina at Charlotte
Doctor of Engineering, Textile Sciences and Engineering, Doctor of Engineering, Textile Sciences and Engineering at Jiangnan University
visiting student, Materials Science, visiting student, Materials Science at Georgia Institute of Technology
Master's degree, Textile Sciences and Engineering, Master's degree, Textile Sciences and Engineering at Qingdao University