Design, build, and continuously improve production AI systems for healthcare documentation, coding, denial management, appeals, and revenue cycle workflows.
Prototype new AI capabilities and convert successful experiments into reliable, explainable, and auditable production systems.
Develop evaluation and feedback loops using expert review, production logs, model outputs, benchmarks, and business-impact metrics.
Investigate system failures, implement targeted improvements, and validate gains in quality, reliability, cost, and operational outcomes.
Set technical direction across a portfolio of AI projects, review system designs, and mentor engineers as a technical lead.