- Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytics workbenches.
- Connect backend models, APIs, and frontend components to deliver interactive insights within the platform.
- Translate user needs and clinical and financial metrics into intuitive visualizations and actionable interfaces.
- Integrate data pipelines, LLM-generated insights, and healthcare analytics into user-facing performance, workflow, and analytics modules.
- Design for maintainability, reusability, and performance while implementing testing and observability.
- Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.
- Establish best practices, documentation, and component libraries for future applications.
- Use LLMs to accelerate development, code review, and refactoring.
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