Capabilities
Different projects show different parts of my practice — from complex systems and design systems to AI-assisted prototyping, accessibility, data-heavy UX, and interaction design.
Complex systems
I turn dense product logic into interfaces people can understand and operate—across multi-state workflows, connected systems, and decisions where hiding complexity would make the product less useful.
Research and discovery
I use interviews, workshops, low-fidelity prototypes, and focused usability tests to clarify the problem, expose risky assumptions, and align teams before expensive UI work begins.
Design systems
I build systems that keep products coherent as they grow—combining reusable components, token structures, documentation, engineering collaboration, and practical governance.
AI-assisted prototyping
I use AI to prototype behavior, simulate edge cases, and produce realistic test content faster—expanding exploration without outsourcing design judgment.
Designing for AI systems
I design AI interfaces that communicate confidence, expose uncertainty, support recovery, and keep people in control when automated outputs affect important decisions.
Accessibility and inclusive UX
I design for people, devices, and contexts where visual feedback alone is not enough—using accessible interaction patterns, multimodal feedback, and resilient states.
Motion and interaction
I use motion and interaction to explain state, confirm actions, and make system behavior easier to understand—especially when a digital interface controls something physical.
Data-heavy UX
I make dense interfaces usable through hierarchy, filtering, comparison, and progressive disclosure—preserving the information people need without overwhelming the first view.
Documentation and handoff
I document flows, states, edge cases, and interaction rules so engineering and QA can build with less ambiguity, rework, and interpretation debt.