I focus on improving GenAI response quality through structured content, evaluation frameworks, and testing systems. My work connects content, data, and AI to help teams understand what’s working—and what’s not.
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I design systems that improve the quality of AI-generated responses.
My background spans technical content, analytics, and process design. I’ve built evaluation frameworks, reporting systems, and internal tools that help teams measure and improve how AI systems perform.
Earlier in my career, I worked in DITA XML environments and business intelligence, where I focused on structuring information and surfacing insights through data. That foundation now informs my work in AI evaluation and content systems.
About MeI work at the intersection of content, systems, and teams to turn messy problem spaces into structured, repeatable solutions.
My experience includes designing workflows, defining standards, and building tools that support content creation, evaluation, and delivery. I’ve partnered across roles to align on goals, translate ambiguity into clear processes, and implement solutions that scale.
I tend to focus on problems where structure, data, and user experience intersect—especially when the path forward isn’t fully defined.
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Designed and built a system to evaluate and improve AI-generated responses using structured scoring, test cycles, and reporting.
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Designed and built Power BI dashboard reports for Information Development
Case StudyRewrote and reorganized DITA Elements and Outputs Reference Guide
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Designed, developed, and implemented auditing and training program to solve costly time and resource issues at time of Localization.
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