Executive experience across multinational manufacturing, paired with hands-on AI and automation development — designed, built, tested, and running in production today.
Standard tools promise to solve your problem — but adaptation is never as easy as it looks. I've seen the same pattern repeat across every company I've worked with: safety gaps, accuracy issues, systems nobody can actually operate day to day, numbers nobody can pull out when they need them.
The root cause is almost always the same — whoever built it didn't understand the data, or the process it was meant to serve.
Process management first — how work actually flows, where it breaks, and why. The right questions before any code.
A diagnosis that stays theoretical helps no one. If the process itself needs to change, that comes before any build.
Once the process is right, AI gets applied — not as a patch over a broken one, but as the thing that makes the fixed process run itself.
I ran the operation myself, so I saw the manual registration problem firsthand — before I ever wrote a line of code to fix it.
Decades of executive experience across multinational companies — new product development spanning footwear, electronics, kitchenware, metallurgy, and defense. Executive education, Fundação Dom Cabral.
The ability to analyze how a business actually runs, diagnose where it breaks, and redesign it — before deciding what, if anything, should be automated.
Next.js, Vercel, Supabase, applied AI integrations. I build and own the full stack from design to production — not just a demo.
If that sounds like your team, I'd like to talk.