At Coupang, I lead data science, ML engineering, and backend initiatives for recommendation, personalization, search, and customer targeting. I also guide production ML platforms and MLOps workflows, and I'm a named inventor on two Coupang patents covering product recommendations and customer targeting.
As a Staff Data Scientist at Coupang, I architected and productionized systems for ranking, recommendation, semantic retrieval, and customer lifecycle optimization. My work has included real-time inference services, feature pipelines, and knowledge-graph solutions for customer and product intelligence.
Earlier, I developed predictive models and data pipelines at URBN and Centris Marketing Science, including work on segmentation, personalization, retention, and product recommendations. I hold an M.S. in Statistics from the University of Pennsylvania and bring a foundation in statistical modeling, experimentation, and machine learning.
