AI Enablement Engineer

I turn AI investment into shipped capability.

Not vanity metrics. Not shelf-ware.

Full-stack engineer with 15+ years shipping production code, now focused on AI enablement. I build the paved-road workflows, integrations, and practices that turn AI spend into capability your team actually uses.

Book a Technical Strategy Session

Past Roles

The RealReal

VP Engineering

Decorist

VP Engineering

CourseKey

Head of Engineering

CrowdFlower

Engineering Lead

When I Help

I help organizations when:

Silos are forming. Everyone's doing everything differently, and no two teams work the same way.

Shadow tooling is spreading. Nobody has taken inventory of what's actually in use.

AI spend hasn't translated into business velocity improvement, and you can't say why.

Your team is producing slop code that no one will approve, and review has become the bottleneck.

Redundancy of work, tools, and information is growing faster than anyone can track it.

On-call load went up after adoption, not down.

A small, AI-leveraged team can
outbuild a much larger one.

76%

runtime reduction

Two-stage model routing and prompt caching on a content pipeline

33%

cost reduction

Token efficiency work on the same pipeline

35%

productivity gain

GenAI workflows rolled out across a non-technical org

$1M

ARR in 18 months

Zero to first million with a small team

Before that

Fifteen years of production engineering across commerce, healthtech, and fintech — 87% load time reduction, 12× faster feature shipping, $5M in new revenue shipped. The AI work rests on knowing what production actually costs.

How Adoption Lands

Demonstrated value, not mandate.

Mandates buy you malicious compliance. Every rollout I run has to clear the skeptical staff engineer before it goes anywhere near a company-wide announcement.

Crawl, walk, run

Adoption earns its way forward one demonstrated win at a time. I build around existing enthusiasm rather than squashing the innovation already happening.

Reuse existing controls

Platform teams resent a parallel stack, and they're right to. Paved-road workflows run on the controls, CI, and review gates you already maintain.

Principle of least privilege

Every agent gets onboarded like an employee — scoped access, information masking, and a closed data exfiltration path before it touches anything real.

How We Work Together

Enablement treated as a product,
with users, adoption, and a roadmap.

Engagements are scoped by adoption stage, not by headcount you're trying to backfill.

Crawl · 2–5 hrs / week

Take Stock

A 30-60-90 inventory of what's actually in use. I surface the shadow tooling, find where spend isn't converting, and name the two or three paved roads worth building first.

Walk · 11–20 hrs / week

Build the Paved Roads

Hands-on execution. I ship the workflows, MCP integrations, and QA gates, then codify the practices your team keeps reaching for so nobody has to reinvent them.

Run · 21–30 hrs / week

Enablement Hub

Full ownership of the function. I stand up the distributed champions network, hold the roadmap, and make the build-vs-buy calls that keep tool sprawl from returning.

Testimonials

Real feedback from executives
who've seen the results.

[Anthony] not only improved the engineering department and the business but also helped me personally improve and level up my skills. As soon as he joined, he started improving everything.

Fadee K.

Founder / CTO · CourseKey

Anthony is great to work with from the Product standpoint — he ensures the whole context and business value of an effort is understood to enable his team to make good tradeoffs when unexpected issues come up.

Jack S.

VP Product · Multiple companies