San Mateo, California, United States
• Architected and delivered enterprise-grade UX enabled by AI to transform complex clinical coding workflows, driving order-of-magnitude productivity gains and accuracy improvements for payers and providers serving millions of underserved patients.
• Synthesized empathetic design with advanced natural language processing and machine learning to automate highly complex workflows, dramatically improving efficiency, quality, and cost-effectiveness of care delivery.
• Partnered with data science teams to rapidly iterate ML models while collaborating cross-functionally to balance automation with optimized human-in-the-loop experiences. Outcomes delivered significant progress toward ensuring accurate access to subsidized healthcare for millions of Americans.