Solving complex Enterprise problems
through Human-Centered Design,
Accelerated by A.I.

Recent experience

How I work with AI

AI accelerates exploration, not judgment

I use AI to move faster through research synthesis, pattern finding, competitive analysis, content drafts, and design alternatives, but the final product decisions still come from user needs, business constraints, and design judgment.

AI is a collaborator, not an autopilot

I treat AI as a thinking partner for critique, synthesis, and iteration. I question its output, check assumptions, and use it to expand the range of possibilities before narrowing toward the right solution.

Responsible design matters more with AI

I consider privacy, transparency, data quality, user trust, and failure states when AI is part of a workflow. The experience should help people understand what the system is doing and stay in control.

Skills

Systems thinking for complex products

I connect workflows, permissions, data structures, edge cases, and business rules into coherent experiences that scale across teams and use cases.

Artifact-led alignment

I create the maps, prototypes, specs, and decision records teams need to move from scattered opinions to clear product direction.

Strategic use of AI

I use AI to accelerate research synthesis, design exploration, and iteration, then apply product judgment to shape trustworthy, usable experiences.