I returned to The Home Depot for a second Software Engineering internship, where I built mPulse, a multi-agent pricing intelligence pipeline that helps pricing managers understand Competitor Price Index (CPI) data in plain language instead of manual lookups. The system is backed by a BigQuery-based competitive pricing SQL pipeline I designed to cover CPI metric definitions and SKU-level data flows, translating raw pricing data into clear, actionable answers. This deepened my ability to connect data engineering with multi-agent AI systems.
In my first internship, I worked on improving pricing accuracy for Pro customers. I built a notification service that helped pricing managers identify mismatches across millions of sales records, and explored how predictive sales models could be applied to real-world pricing adjustments — gaining experience in both backend development and data-driven decision-making. This role taught me how to balance technical problem solving with business impact.
I combine my passion for board games with digital media, building an audience around Dune: Imperium and its expansions. More than 20 educational videos have taught me how to break down complex mechanics into digestible content for a global audience of over 1,000 viewers across 60+ countries. Along the way I've sharpened video editing, marketing, and storytelling skills, and learned how to grow and track a community using analytics.