Summary
Kirsten Tsai is a Machine Learning Engineer with 10 years of experience, combining a Computer Science foundation and a Master’s in Data Science from the University of San Francisco. Based in San Francisco, she has driven production ML for logistics and routing—most recently at Lyft on ETA & routing and previously at Shipt where her models improved delivery time predictions and automated product categorization, cutting manual work by nearly half. Her background spans end-to-end pipelines, real-time election forecasting with NLP and Spark at ABC News, and early computer vision drone work, showing a blend of research-driven prototyping and production-grade systems. She’s skilled at turning messy data into operational ML that saves labor and speeds decisions, and has a track record of shipping impactful solutions across high-throughput environments.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at National Chiao Tung University
Master's degree Data Science, Master's degree Data Science at University of San Francisco
Computer Science, Computer Science at National University of Singapore