hi, i'm Rafael.

i lead technology
technology leadership
check my cv

founded and exited a consumer brand — i've owned a P&L, not just a backlog. so i build technology for the business, not for the stack.

Founder sketch

now i run technology for an 9-figure amazon portfolio company, used daily by 100+ people. i took a tech function built on five years of organic chaos and turned it into a system that creates value instead of fighting fires.

Happy sketch

who i help

businesses that grew faster than their tech could keep up — in e-commerce or far outside it. you don't need a $300k full-time CTO. you need someone to take the chaos and turn it into a system.

Founders & owners

you built the business — not a tech org. now infrastructure, tools and data are a tangle you can't see into, draining money and your attention.

Non-tech companies

retail, services, logistics, manufacturing, e-commerce — operations-heavy businesses where software crept in tool by tool, and nobody owns the whole picture.

Scaled past the chaos line

real revenue, a team that outgrew its systems, no full-time CTO — and the gap between what tech could do and what it actually does keeps widening.

you probably know it's time when

spend on servers & SaaS nobody can fully explain

passwords and access held together by spreadsheets

data scattered across tools, reports built by hand

key knowledge living in one person's head

Firefighting
System

passwords in spreadsheets

secrets in a vault, 2FA everywhere

costs nobody can explain

every dollar mapped, ~$96k/yr cut

reports built by hand

AI brains query live data

tools, chat & files disconnected

one connected system

knowledge in one person's head

documented, owned, resilient

stop firefighting your tech.
i turn it into a system that creates value.

from chaos to system

four parts of one transformation — taking a tech function from five years of firefighting to something that creates value.

Infrastructure & cost control
−$96k / year
What I walked into

inherited 100+ servers across dozens of providers and a stack of SaaS nobody owned. spend leaking every month, costs no one could explain.

What I built

full inventory and owner map, scream-tested dead servers, consolidated providers, killed ghost subscriptions, moved billing to one source of truth.

Result

−$80k/yr on server infrastructure, −$16k/yr on subscriptions. ~$96k a year out, zero outages.

AI brains for every department
live data, on tap
What I walked into

teams assembled amazon reports by hand, copy-pasting between tools. data scattered, no clean source, answers took days.

What I built

an MCP + data pipeline pulling clean amazon SP-API & ads data, wired into clickup, files and slack, with a per-department AI brain on top.

Result

people ask their data questions in plain language instead of building reports. firefighting → answers in seconds.

Security & access
attack surface closed
What I walked into

secrets living in spreadsheets, files shared far too widely, off-boarded staff still holding access. five years of accumulated risk.

What I built

migrated secrets to a managed vault, enforced 2FA, revoked external file shares at scale, tied access to a clean off-boarding process.

Result

the attack surface that took years to pile up — closed. access is owned, not improvised.

Files & knowledge
26k+ files structured
What I walked into

tens of thousands of company files scattered across personal accounts. no structure people — or AI — could navigate.

What I built

migrated everything into governed shared drives, split by business unit, with ownership and a structure built for both people and AI.

Result

a clean foundation the AI brains actually run on. knowledge stopped living in one person's head.

how i work

fractional and embedded — a repeatable path from chaos to a system. usually 3–6 months to turn it around, ongoing if you want me to keep building.

01

Diagnose

first few weeks

i map what you actually have — every server, subscription, access, data source and dollar. you get a clear read on cost, risk and ownership, fast.

02

Plan

a prioritized roadmap

what to stop, what to fix, what to build — sequenced by impact and risk, costed, and tied to the business. not a tech wishlist.

03

Execute

i run it, not just advise

cut the bleeding, close the risks, clean the data — then build the leverage: automation and AI on a foundation that finally holds.

open to fractional CTO & advisory work.

tech function stuck in firefighting? let's turn it into a system.

book a call
email me

not ready for a full engagement?

book a paid consultation — a focused deep-dive into your tech and ops, ending with a prioritized action plan you can run with or without me.

book a call