At Expedia Group, I built dashboards and alerts to help teams spot changes in performance and understand what was driving them. Later, I worked with machine learning scientists on systems that translated business goals into real-time bidding decisions.
That work shaped how I think about products. Understanding what happened matters. Deciding what to do next means weighing incomplete information, making tradeoffs, and knowing when to revisit a decision.
Small business owners make those calls every day, often without a team of analysts behind them. That’s the problem I’m working on with MetricPilot. A budget recommendation should explain its reasoning, acknowledge what the data cannot tell us, and give the owner a way to judge whether the change worked. The calculations run in code; AI helps explain the results. The owner makes the decision.
TripOrganize grew from a more everyday frustration: planning a trip when the details are scattered across messages and booking emails, and everyone has a different preference. It brings those pieces together so people can make a plan and enjoy the trip.
These are different businesses, but both reflect something I care about: making complicated decisions easier to work through.
Arohana gives me room to keep exploring that idea—and others. Some of what I build will use AI. Some may take a different direction. I want each business to solve a problem I understand well enough to make something useful.
Rahul