Summary
Michael Yang is a Machine Learning Engineer II with a decade of experience bringing production-ready ML systems to fast-moving startups, currently at Klaviyo after four years building ML infrastructure and recommendation systems at IntelyCare. He blends hands-on model development (pricing, uplift, churn) with scalable engineering—designing AWS-backed, testable pipelines, ETL into Snowflake, and BI/reporting stacks that translated analytics into measurable KPI improvements. Michael led a small analytics team, drove AB testing that cut message bloat by 80%, and has a track record of turning investigative analyses into operational impact. Trained at Cornell (M.Eng. CS) and Tufts (B.Eng. ME), he pairs rigorous engineering foundations with practical product sensibility and a stated commitment to using data for a more equitable future.
11 years of coding experience
7 years of employment as a software developer
Master of Engineering Computer Science, Master of Engineering Computer Science at Cornell University
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at Tufts University