Joined IBM as a Machine Learning and Data Science PhD Intern
Spending the summer in New York building an LLM-powered audience segmentation application on top of validated propensity models.
Started a summer internship at IBM in New York, working on audience building and segmentation — statistical modeling over engagement data at scale, plus the LLM layer that makes those models usable by non-specialists.
More detail on the technical side is in the LLM Audience Builder project write-up.