I turn complicated systems into experiences people can understand, trust, and use.
My work spans enterprise products, field-facing systems, regulated transactions, self-service platforms, and operational tools. I work from ambiguity through implementation—using research, systems thinking, interaction design, and cross-functional leadership to find the organizing principle inside a complex problem.
I’m often brought into work where the complexity is real—but the way the experience presents that complexity can change.
Turning 100+ cryptic device errors into three actionable paths technicians could diagnose and resolve in the field.
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Vending/Kiosk Experience — designing an accessible touch interface for industrial environments, PPE, and non-English-speaking staff
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Online Car Buying Experience — designing trustworthy credit workflows for automotive dealerships
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SharePoint Training Site Redesign — restructuring content and navigation into a self-service training hub
Read case study →Turn technical states and business rules into clear user actions.
Design for the real environment—not the idealized one in the requirements.
Preserve complexity the work genuinely requires. Remove complexity the interface creates.
Give complex information a structure people can understand, navigate, and act on.
My broader interview portfolio includes configurable and custom CRM work, design-system creation, responsive asset-management tools, mobile field experiences, technical compatibility products, and work that crosses strategy, visual storytelling, teaching, and physical making. I curate those stories based on the role rather than publishing everything at once.
I bring the same systems thinking to digital products, physical making, teaching, and independent creative work: understand the constraints, find the structure, make the idea tangible, and learn from what happens next. That multidisciplinary practice keeps me comfortable moving between strategy and execution—and between unfamiliar problem spaces.
I use the methods the problem requires—field observation, interviews, journey mapping, heuristic analysis, prototyping, usability testing, systems modeling, or experimentation—but the deliverable is never the point. The goal is to create enough shared understanding for Product, Engineering, and Design to make better decisions together.
I use AI selectively for synthesis, exploration, prototyping, and iteration while keeping user evidence, product context, and design accountability at the center of the work.
I’m interested in ambitious product, experience, and systems challenges where strategic thinking, design craft, and cross-functional leadership can turn ambiguity into something tangible.
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