Over fifteen years in enterprise UX teaches you one thing: the messiest workflows are usually the most important ones. I've spent my career inside the hard problems: clinical billing, financial data pipelines, and content operations at scale. Designing systems that hold up under real organizational pressure. My work spans research, systems thinking, and execution, and I don't treat them as separate phases.
Lately, I've been building in AI, not as a novelty, but as a material. I use it to accelerate research, stress-test arguments, and prototype ideas I couldn't build on my own. I also write about it. My current essay argues that the field is building AI memory wrong, reaching for human cognitive metaphors instead of something native to what these systems actually are.
EMR and billing software for physical therapy practices. Led end-to-end product design for clinical workflow tools.
SaaS PR management platform. Designed features connecting journalists with communications professionals.
Organic marketing SaaS platform. Led Technical SEO research and design that saved a $2M PMI contract and influenced the acquisition of Content King.
Enterprise consulting for S&P Global (Project Simplify), New York Life, and PNC Bank. Designed complex workflow platforms under strict technology constraints.
Content Hub redesign for Gartner for Marketing Leaders. Built a Solutions Engine that replaced 30-field forms and doubled as a content strategy pulse meter.
TV marketplace and financial publishing. Designed consumer-facing products across media and fintech.
Design consultancy serving clients in financial services, publishing, media, healthcare, and non-profit sectors.
Complex B2B products with deep data models, multi-role workflows, and high-stakes business logic. I've designed platforms handling millions of data points under strict technology constraints.
Systematic component architecture that scales. I build using existing design system components to reduce development and integration overhead — not adding complexity for complexity's sake.
User interviews, stakeholder alignment, and hypothesis-driven design. At Conductor, 25 interviews shaped a feature that saved a $2M account. At Wells Fargo, persona research targeted a 40% reduction in support calls.
Credit ratings, invoice management, billing platforms, and banking tools. I understand the compliance, security, and trust requirements that define financial product design.
I design for AI the same way I design for any complex system: by asking what the user actually needs to trust it. That means surfacing how decisions are made, making uncertainty legible, and never hiding the machine behind a layer of false confidence. I build with AI tools and I think critically about how they work.
I work across product, engineering, data science, and business stakeholders to align teams around clear design direction. Design is only as good as its ability to ship.
Miami Ad School
Maven
Deque Systems
General Assembly
UNAPEC