• Led design for an AI-assisted support platform used by ~30,000 agents across multiple organizations.

• Simplified complex workflows, cutting handling time by ~50% and improving first-contact resolution to ~75%.

• The platform scaled across teams and contributed to ~$28M in annualized savings.

• Worked closely with product, engineering, and AI teams to ensure reliability at scale.

• Designed a self-serve system that enabled business teams to create and manage AI agents independently.

• Reduced manual dependency and helped drive ~$12M in savings within a single quarter.

• Focused on clear guardrails and system clarity to support safe adoption across teams.

• Designed AI-assisted workflows for regulated compliance processes where accuracy and speed both mattered.

• Reduced end-to-end task time to under an hour while maintaining strong validation and error prevention.

• Contributed to design system improvements that helped teams ship more consistently.

• Modernized a legacy operations platform by simplifying core workflows used by dealers and field teams.

• Reduced workflow complexity by ~40% through research, iteration, and testing.

• Designed mobile-first experiences that helped reduce delivery delays by ~30%.

• Owned multiple internal tools supporting large operational teams.

• Redesigned a core internal application, improving efficiency by ~30% and increasing adoption.

• Partnered closely with product and engineering across multiple release cycles.