AWS · UX Design Lead → Product · Autonomous Sales & AI Automation
Designing thoughtful, user-centered AI experiences.
17+ years building enterprise software. UX Design Lead at AWS
Autonomous Sales & AI Automation — designing the AI agents and
agentic tools AWS sellers run on, plus the AI-Ready Design System they compose
from. Vision doc → design → spec → dev handoff, with AI co-pilots in the loop the
whole way. Now stepping into Product Management for AWS AI Tools &
Agents for AWS Sellers, where the practice goes end-to-end.
AWS · UX Design Lead → Product Greater Boston AI-First Builder · 50+ tools 17+ years · idea → ship
Won the AWS Field Experience (AFX) Hackathon with an AI-Ready Design System — full product solo,
vision to live demo to test cases, built with AI. Not a deck, a shipped product.
UPDATED · MAY 2026
In flight
A few things on my desk right now.
Active platform work at AWS — agent surfaces, an AI-Ready Design System, autonomous workflows, and design-org AI initiatives.
A design system built for an agentic desktop. Less about the
components themselves and more about the layer between a human composing a Skill
and the model interpreting it. The protocol is standardized; the experience
inside it isn't — and that's where AI either quietly works or quietly
breaks. The system makes the inside legible to both.
Design lead on the program that runs every step of an enterprise sales motion —
and the meeting workflows that bookend each call with autonomous prep, intel, and
follow-up. The pattern: the AI's recommendation
is the first read, not the footnote, and the human's job is approval, not
archaeology.
~2× sales-action rate · −35 to −50% prep time
ai co-pilotux researchfigma + asana
Research automation co-pilot
An AI co-pilot for the design lifecycle — distills multi-stakeholder research
into actionable backlogs, generates wireframes with validation loops, and
keeps the design org from re-discovering the same insights every quarter.
Pilot feedback synthesized in minutes. Insights routed into Asana as tagged
roadmap items. Figma components auto-generated for stakeholder comment — one
continuous loop instead of three handoffs between research, design, and
engineering.
−90 to −95% design-to-prototype time
design orgai enablementplatform
Design-org AI initiatives
Org-wide work bringing AI tooling to the broader design organization — a
spec-driven workflow that mirrors Kiro's
requirements.md → design.md → tasks.md,
a shared component library every designer can ship from, and the prototypes
that turn into shipped product faster. Less "designers experimenting with AI",
more "designers shipping AI-native products at the same pace as the rest of
the company."
spec-driven · org-wide · kiro-aligned
Throughline
Four ideas the work keeps returning to.
Different problems, same posture. The themes underneath every project — from agent surfaces to design systems to the architecture that holds them together.