Building delightful AI agents for the world's most loved brands.

Developed tools to attribute infrastructure costs and inefficiencies to Uber products and services, empowering engineers to reduce spend and drive profitability.

• Led a cross-functional effort at Meta to make building and maintaining backend services easy, giving more time back to developers for building features that matter.

• Collaborated with multiple teams to build a unified product from a disparate array of tools (Deployment, Monitoring, Capacity, Privacy, Security) that were originally held together with an array of complex and error-prone configuration.

Led the rewrite of Medallia's flagship reporting interface from ground-up using React and GraphQL from a legacy server-rendered architecture. The goal was to provide users with faster access to information they seek and modernize the stack for easier development and maintenance.

My primary focus was to manage architectural and code complexity as we refactored a very complex application, keeping clear layers of separation between domain, application and presentation logic. Besides coding, I worked closely with Product, Design and API teams to predict and resolve potential technical hurdles in advance.