I design AI-enabled systems that translate data, operations, and strategy into coordinated action.

Operator turned product-minded systems architect with experience owning $25M+ P&L and leveraging technology to build decision infrastructure across business systems to improve efficiency, revenue, and most importantly profits. Now focused on applying that same thinking to AI:

  • Business leaders understand the problem

  • Technical teams understand the tools

  • But no one translates between the two

That gap is where most AI initiatives fail. I operate in that layer.

About Me

Andy is a dual citizen (U.S. & Panama), fluent in English and Spanish. Has worked across teams in the U.S., LATAM, and Asia, and enjoys training, reading, & exploring Cincinnati’s food scene.

Intro

Curiosity, a growth mindset and systems thinking

  • Has taken me from cleaning toilets at a supermarket in 2012…

  • To full P&L management of a $25M business, national supply chains, and consulting.

  • And ushering in the future of work with AI in 2026.

 

Approach

I don’t build features. I design systems that change behavior.

  • Translate ambiguous business problems into structured system design

  • Define inputs, outputs, workflows, and decision logic

  • Apply AI as a reasoning layer, not just automation

  • Align engineering, data, and business teams around execution

  • Measure outcomes in financial terms (margin, velocity, capital efficiency)

Big ideas, real impact.

Most teams use AI to:

  • automate tasks

  • summarize information

  • generate outputs

That’s not where the leverage is.

The leverage is in:

  • structuring how problems are framed

  • defining how decisions are made

  • embedding AI into the system, not the task

That’s the layer I focus on.

Get Started

Select systems

  • AI-powered diagnostic system that:

    • ingests fragmented operational data

    • applies structured reasoning (RAG + workflow design)

    • outputs decision-grade recommendations

  • Rebuilt fragmented operation into coordinated system in three years: $10M → $25M, margin 18% → 22%, turns 1.5 → 3.3

  • Designed system integrating supplier, logistics, and ERP data → 90–120 day forward visibility, $5M+ disruption avoided

  • Redesigned acquisition → conversion → retention system
    → 15x revenue growth, 3:1 ROAS

Availability

  • Technical Product roles (AI / Data / Platform)

  • Teams building decision infrastructure

  • High-ambiguity, system-level problems