Summary
Izzie L is an Applied Scientist at Microsoft with 11 years of hands-on experience building end-to-end web and mobile products and now applying that product-focused mindset to training and evaluating large language models. A UC Berkeley graduate in Computer Science, Data Science, and Cognitive Science, she has shipped production features from frontend prototypes to backend systems for high-traffic sites and student-facing platforms. At Microsoft AI she fine-tunes open-source LLMs to beat internal benchmarks and builds north-star metrics to measure document relevance, combining research rigor with product metrics. Her background includes leading analytics and design projects at Berkeley, running web operations for a 3,000+ weekly visitor site, and managing cross-functional engineering teams for health and education apps. Curious and community-oriented, she pairs strong technical breadth with UX sensibility and a penchant for philosophical conversations over coffee.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts Computer Science Data Science Cognitive Science Entrepreneurship & Technology, Bachelor of Arts Computer Science Data Science Cognitive Science Entrepreneurship & Technology at University of California, Berkeley
High School, High School at Gabrielino High School
Chinese, English