Work

Experience

Right now I’m the AI Product Manager at a commercial real estate firm, where I also run the AI program. Before that I spent almost two years on AI research at a gene-editing biotech company.

Matthews logo

AI Product Manager

Matthews Labs · Matthews Real Estate Investment Services · Scottsdale, Arizona

Aug 2026 – present

In August 2026 I moved into product. I own the requirements and the record for every internal AI tool in the Matthews Labs Builder Program, where people outside engineering build and run their own apps. How I run product

Product ownership

  • Requirements and the record for every internal AI tool in the Builder Program, kept current in Linear.
  • Priority comes from the portfolio owner. I turn it into clear, minimal requirements.
  • One committed deliverable per project, with an impact metric and monitoring built in.

Scope and delivery

  • Functionality first. Efficiency and automation come in only when the portfolio owner pulls them in.
  • Ideas get parked, not deleted, each with a trigger for when to revisit it.
  • Done means done: pushed, run against real input and actually looked at.

Safe building for non-engineers

  • Builder apps run on approved infrastructure, so sign-in, data and governance are handled once and inherited.
  • Anything touching auth, secrets or security I code by hand. It’s never handed to an agent.
  • Health checks across every portfolio that catch stalled milestones, orphan work and quiet scope creep.

AI Process Engineer

Sept 2025 – Aug 2026

I took the AI program from one department to the whole company in four months. Some projects I built. On most, I worked alongside the team or coached them through it.

Program leadership

  • Every AI project lives in Linear, with an owner, an executive sponsor and a rollout plan.
  • ~150 employees come to me for AI help, from picking a tool to writing a full spec.
  • AI intake and scoring model that ranks every request for leadership.
  • Monthly AI digest on status, blockers and time saved.

Builds and automation

  • 40 Claude skills shared across departments, with 80+ specs behind them.
  • AI agents and workflows built with LLMs and MCP.
  • AI cold-call simulator that scores practice calls.
  • AI cost dashboard (in progress) where each person sees their own spend.

Adoption and executive communication

  • 50+ employees trained with a curriculum I wrote, so they can build on their own.
  • Customer Zero for Superblocks and Lovable.
  • Live demos for the executive team.
Neoclease logo

AI Strategy and Data Analyst

Neoclease, AI-driven gene-editing biotechnology · Boston, remote

Dec 2023 – Sept 2025

I tested which AI models could help design better gene-editing enzymes, and built agents to speed up the lab’s R&D.

Model evaluation and research

  • Small language models evaluated for designing nucleases.

Agents and automation

  • C10 Labs AI Biotech Cohort, selected.
Value Stream Science logo

Co-founder

Value Stream Science

2026

Methods is an AI agent platform that turns a lab’s routines into automated analysis workflows. I designed and built the product demo.

SAG

Screen actor, SAG-AFTRA

Nickelodeon, film, theater and national commercials

13 years

Before any of this, I worked on professional sets. It’s where I learned schedules, teamwork and how to present. The story is on my About page.

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