GonzaloMunoz

Real World AI Engineering

I'm Gonzalo Munoz, a Cloud/AI engineer who ships production systems and teaches the craft. I judge AI the way a senior engineer does: secure, provable, observable, cost-bounded, governed. Everything here comes from real enterprise delivery, in English and Spanish.

12 AWS certificationsGolden AWS Golden JacketClaude Certified ArchitectAI Academy Enterprise SME & educator11+ Years shipping software and cloud

Who's behind this

Eleven years shipping software. The last few, shipping AI.

I'm a Cloud/AI Engineer delivering AI and cloud systems for enterprise clients, and an SME and educator running an enterprise AI Academy, where I run cohorts that turn engineers into people who can ship AI safely.

I hold every active AWS certification and the AWS Golden Jacket, the community credential you earn by passing them all. I'm also a Claude Certified Architect. But the jacket earns attention; only the work earns authority. Certs tell you I did the reading. The systems I ship tell you I can build.

My angle is the part most AI content skips: what actually holds up in production. Cost per run, prompt-injection surface, traces you can read at 2 a.m., a human in the loop where it matters. That judgment is the difference between a demo and something a team can run on Monday.

I work and teach in English and Spanish, mostly for engineers across LATAM who don't need another hype thread. They need to see the real thing built, with the trade-offs left in.

The receipts

  • 12 AWS certifications
  • AWS Golden Jacket
  • Claude Certified Architect
  • Cloud/AI Engineer — enterprise delivery
  • Enterprise AI Academy — SME & educator
  • 11+ years shipping software & cloud

Signature framework

The Ship-It Scorecard

Before I call an AI system done, it clears five gates. It's the checklist I run in enterprise delivery and the one I teach. It's what separates a demo from something you can run on Monday.

  1. Secure

    Least-privilege, secrets handled, prompt-injection accounted for.

  2. Provable

    Evals and tests that catch regressions before users do.

  3. Observable

    Traces, tokens, and failures you can actually see in prod.

  4. Cost-bounded

    Known spend per run, with ceilings — no surprise bills.

  5. Governed

    Human-in-the-loop where it matters, with an audit trail.

Talks, labs, and the hub where the work lives out loud.

Where I work in public.

Speaking

Talks drawn from real delivery

AI systems, agents, architecture, and certification sessions I can bring to your team or user group.

See topics

Labs

Build with the repo open

Hands-on examples across the modern AI stack, designed to become articles and reusable demos.

Browse labs

Content Hub

Real-world AI, in public

Bilingual labs and field notes on building AI that ships — the same work, documented as I do it.

Explore the hub

Proof I ship — a product I built

Get Certified

A guided, gamified way to actually pass the exam.

The study app I built for AWS and Claude certification prep, from real exam experience. Every concept is one editable file in a versioned tree, the whole app rebuilds byte-for-byte from source, and there are no tracking cookies. Learn seriously, or in pixel mode when you want the game.

  • Six exams covered: AWS Cloud Practitioner, AWS AI Practitioner, and the four Claude certifications.
  • 170 concepts and 543 practice questions, one file each, checked against a frozen oracle so nothing gets silently lost.
  • Two modes: a focused serious track and a pixel-game mode for streaks and momentum.
  • Privacy-respecting by design: analytics from server logs, no cookies.
Open Get Certified

Live at certs.skillrealm.dev · part of the SkillRealm family

Proof I ship — the sibling product

Level Up

The part of a senior engineering career that coding practice can't teach.

A daily brief that picks one concept from a 178-node curriculum, checks whether it landed, and brings it back on an expanding schedule — so you meet an idea again before it fades. Seven domains from foundations to Principal-level judgment, including specialist tracks for AI Engineering and Cloud & Platform. Every concept cites a real source, and the reading list is primary sources only.

  • One concept a day, rotating domains, with the prerequisites respected — miss a day and nothing is lost.
  • Checks you can't click through: build the architecture, categorise the tradeoff, order the sequence.
  • 116 verified primary sources — the paper, the official doc, the post by the team that built it.
  • Bilingual EN/ES, no login, progress stays in your browser.
Open Level Up

Live at levelup.skillrealm.dev · part of the SkillRealm family

12 AWS certifications, the AWS Golden Jacket, and Claude Certified Architect. The reading is done. The work is what matters. See the evidence

The website is the hub. Everything else points back here.

  • Depth: labs become articles become open repos
  • Reach: talks and community sessions, EN & ES
  • Bilingual field notes across the modern AI stack
  • A permanent, public trail of work that shipped