Washington DC Metro · Open to Senior AI Product Roles

I build AI agents
that actually ship.

15 years owning digital products at Amazon, Capital One, and Asurion. Now building production AI systems that run real businesses — not demos, not pilots.

MIT Executive Education in Digital Transformation & AI Strategy · Currently exploring Director/VP AI Product roles

▶  Watch 2-min demo Get in touch

No deck needed. I'll show you the work.

Kit — A production AI agent system

Kit is an AI agent I designed, built, and run in production. It handles client intelligence, pipeline management, calendar monitoring, competitive research, and job scanning — autonomously, 24/7.

Architecture: multi-agent orchestration · persistent vector memory · model-agnostic design · human-in-the-loop controls · custom compaction layer. Runs on a $24/month VPS. Does the work of a full-time chief of staff.

Kit · Slack DM · 5:47 AM — delivered before I logged on
Kit 5:47 AM
📋 Morning brief — 3 things need your attention today

1. Pipeline — 4 Day 3 follow-ups due
• Drafted all 4. In your Drafts. Review before 9am.
• One reply overnight from a CPA firm intro — read this one first.

2. Meeting at 2pm — prep brief attached
• Financial advisory firm · $10B+ AUM · President owns tech + M&A
• PE-backed · active platform overhaul · they use Copilot, it's not working
Your angle: institutional memory frame. Lead with advisor time savings, not features.

3. Legal deadline in 9 days — status: pending confirmation
• Pinged your attorney this morning. Awaiting reply.

Sources: calendar · Outlook · HubSpot · web research · OB1 vector memory
Delivered before you logged on · zero prompts required

Kit — AI Operations Agent

Production Slack-native agent running two companies 24/7. Custom memory architecture, multi-source intelligence, autonomous client research, pipeline monitoring, and executive briefings — delivered before I log on each morning.

Claude API Multi-agent Vector Memory Graph API Production

Scout — AI Phone Agent

Voice agent that registers new customers and handles bookings end-to-end on first call. Deployed for a venture-backed marketplace — real customers, real bookings, real payments. Handles the full flow without human intervention.

Voice AI Vapi Twilio Supabase Deployed

Enterprise AI Products (Lex / Aria)

Purpose-built AI products for professional services firms — legal/tax and wealth management verticals. Built for the compliance and workflow constraints generic AI can't handle. In production with paying clients.

Enterprise Wealth / RIA Legal/Tax Compliance Live

Most people talk about AI agents.
I've shipped one.

The gap between understanding AI and deploying it in production is large. I've crossed it — and I know exactly where it breaks.

Most AI candidates
  • List tools: Claude, LangChain, ChatGPT, Cursor
  • Built demos and prototypes
  • Talk about agent architecture in theory
  • Can't explain what breaks in production
  • No public artifact to show
What I bring
  • Production system running 24/7 — I can show it live
  • Designed the architecture; own the failure modes
  • Model-agnostic by design — not a vendor bet
  • Human-in-the-loop built in, not bolted on
  • 15 years shipping products at Amazon, Capital One, Asurion

Fortune 500 product leadership,
now applied to AI.

15 years owning P&L, product roadmaps, and cross-functional teams at companies that defined digital commerce. Now I ship AI systems with the same discipline — not as a side project, as a daily operating reality.

Amazon
Sr. PM · $200M platform yr 1
Capital One
Director · 26-person team
Asurion
Director · 50M consumers
Gannett
Sr. Director · 400% growth
AxiomStream
Founder · AI products + ops
🎓 MIT Sloan School of Management — Executive Education, Digital Transformation & AI Strategy · 2024–Present

Open to the right conversation.

15 minutes.
I'll show you the work.

No deck, no prep needed on your end. Share your screen time and I'll do the rest.