Summary
Anna Li is a data scientist turned machine learning engineer with 11 years of experience building scalable data pipelines, experimentation frameworks, and production ML systems across startups and big tech in the Greater Seattle area. She has driven measurable business impact through clustering, NLP, and A/B testing work at AWS and Meta, and recently built privacy-compliance measurement for GenAI training data. Hands-on in model engineering, she trained a GPT-2 (124M) from scratch on 10B tokens and published the pipeline and learnings publicly, demonstrating both deep ML know-how and reproducible engineering. Comfortable across Python, PySpark, PyTorch, and AWS, Anna blends applied research with product-focused delivery, often prototyping RAG and GenAI features end-to-end. Her background in statistics and BI gives her a rare fluency in experimental design and production telemetry, helping teams turn complex ML experiments into operational improvements.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at Hubei University of Technology
Master’s Degree, Statistics, Master’s Degree, Statistics at Rutgers University
English, Chinese