Shipped our new Asset Management product from zero to GA in just 74 days—with only two engineers—by leaning into AI-first workflows. I planned the architecture, paired with GenAI tools like Cursor, Claude, and GPT, and stayed deeply hands-on from design system integration to end-to-end test coverage. We delivered fast without cutting corners—intuitive, performant, and well-tested from day one.
Some of the ways I’ve helped scale our product and team:
• Transitioned our front-end team to full-stack by owning Ruby on Rails and GraphQL work—eliminating bottlenecks and speeding up delivery.
• Co-architected our internal React component library (Material UI-based), improving velocity and consistency across the UI.
• Led our accessibility initiative, embedding WCAG standards and inclusive design into our product culture.
• Automated the localization pipeline with a custom GitHub Action + GenAI integration, slashing time spent on translations.
• Rebuilt our testing stack: resolved flaky Capybara/Jest tests and introduced Cypress + Cucumber for reliable, human-readable E2E coverage.
• Mentored junior engineers and drove internal adoption of AI tools and workflows, making AI-first development both effective and approachable.