I turn complex problems into intuitive solutions.

I'm a Senior UX Designer designing functional product experiences for complex environments. I work with data-heavy dashboards, decision-support systems, case management tools, and business-critical workflows — turning domain complexity into clear structures, practical interfaces, and systems people can rely on every day.

AI Engineering

UX meets Agentic Coding

I combine UX and agentic coding to turn user insight into working prototypes — using AI to synthesize research, challenge requirements, prototype in code, orchestrate specialized agents, and validate implementation through specs, tests, review gates, and human oversight.

Code-First Prototyping
Turning research insight into working, testable prototypes through agentic coding — moving beyond static mockups and putting real interaction in front of users sooner.
Research Synthesis
Using AI to analyze interviews, feedback, and research data — surfacing patterns, tensions, and assumptions that need validation before they shape product decisions.
Agent Orchestration
Decomposing complex work into specialized agents and parallel tasks — with clear scopes, handoffs, and review points between planning and execution.
AI Environment Engineering
Designing AI workspaces with custom skills, named agents, memory, and modular rule sets that steer how assistants reason, act, and collaborate inside a codebase.
Spec-Driven Development
Driving work from explicit specs into plans and implementation — with review gates that catch unclear requirements before changes reach the codebase.
Test-Driven Development
Using tests as the contract for agentic implementation — so generated code is verified against expected behavior, not trusted because it looks right.