17+ years building enterprise software. As Senior Product Leader, GenAI / AI & ML, Amazon Web Services (AWS), I lead AWS Meeting Intelligence AI — a GenAI product that automates manual meeting work for sellers — and help drive AI-powered sales automation across AWS's global sales organization. I'm an idea person who builds in working code. I move fast from idea to working product, get the whole team building and sharing with AI tools alongside me, and automate the long-standing UX and PM practices that used to slow teams down, with guardrails and clear direction built in. The track record on AWS Autonomous Sales: Sales Acceptance nearly doubled, seller prep time down 35–50%.
Active product work at AWS — Meeting Intelligence, Autonomous Sales, and the AI-Ready Design System and AI enablement underneath them.
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.
Drove 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.
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.
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."
Different problems, same posture. The themes underneath every project — from agent surfaces to design systems to the architecture that holds them together.
Spec files, a design system, an audit loop. The system the agent reads to know what "good" looks like.
Every screen has two readers now — a person and an agent. Both deserve a coherent system.
The driver stays in the chair. The agent accelerates; the system catches what it misses.
requirements.md → design.md → tasks.md. Intent in writing — readable by the team and the agents.
An exceptional ability to think beyond one product to create interconnected experiences. Has established new standards in Autonomous UX.
The ultimate design thinker. Optimism that elevates the team's thinking to designs that change the game.
