At HCA Healthcare, I designed developmental psychology annotation frameworks for pediatric AI models, improving AI system training accuracy by 38%. I also built annotation pipelines for clinical child-interaction datasets using DSM-aligned developmental criteria.
I integrated cognitive assessment rubrics into AI test scenarios and evaluated model responses against child-development benchmarks, producing feedback that guided three model refinement cycles.
At TRUGlobal, I developed scenario libraries with 2.3k annotated cases for model fine-tuning and assessed educational content for age-appropriate cognitive load. I also evaluated multilingual child-language datasets and refined scoring rubrics using Bayley, WPPSI, and Vineland conventions.
Earlier, I applied child-development expertise to insurance risk models, financial guidance, digital platforms, and Siri interactions at Seguros APS, DataCrédito Experian, CA Soft, and Apple. My work has included pediatric case annotation, culturally relevant evaluation, and guidelines for age-appropriate AI and digital experiences.
