Summary
Fangfang Lee is a Developer Advocate and machine learning engineer with eight years of experience translating AI/ML research into practical solutions for developers and enterprises. Based in the New York City area, she has guided organizations from classroom to cloud—building a flagship 16-week data science curriculum at Flatiron School, consulting on GenAI solutions at Google Cloud, and now creating actionable content at IBM. Her background in psychometrics and quantitative psychology, combined with hands-on work in record linkage, text mining, and neuroimaging, gives her a rare blend of statistical rigor and product-focused ML engineering. Known for turning complex pipelines into teachable workflows, she has trained hundreds of students and helped organizations operationalize models across public- and private-sector projects.
8 years of coding experience
3 years of employment as a software developer
Master's degree Psychometrics and Quantitative Psychology, Master's degree Psychometrics and Quantitative Psychology at New York University
Chinese, Italian, English