Career Journey
Cambridge Consultants, Product Designer
Learned: How to think divergently. Through mixed-method user research, I discovered that exploration—not assumptions—uncovers what really matters..
Impact: Led design on BacilAi, a deep learning tool automating TB cell counting in low-resource clinics. Featured by NetApp and Nvidia as a reference case for AI infrastructure.
McKinsey & Company, Consultant
Learned: That ideas need structure to scale. McKinsey’s problem-solving framework taught me how to partner with executives, translate strategy into capability, and embed design thinking across organizations.
Impact: Promoted within 6 months. Defined CX vision for a luxury EV startup, unlocking 70+ new expansion opportunities.
QuantumBlack, AI by McKinsey, Senior Product Designer
Learned: How to take a product from zero to first enterprise customer. Designing for highly technical users, measuring adoption through data, and learning that the first customer is always the hardest—and most valuable.
Impact: Led the design transition of Brix from internal tool to enterprise grade platform. Drove acquisition of the first enterprise customer.
Hyperexponential, Senior Product Designer
Learned: How to build and scale AI-native design teams from the ground up. How to design for the most technically complex domains, where intuition gives way to data and domain expertise.
Impact: Established AI-native research ops, reducing validation cycles from 2-3 weeks to ~4 days. Built automation connecting product teams directly to research and analytics signals for rapid decision-making. Grew the design team from 3 to 7, leading hiring and capability building at both junior and senior levels.