Where do I start?
With the process that already hurts and already has history in the data. A pilot without a reliable base becomes a demo, not a capability.
I'm an AI executive who turns experiments into operational capability. 15+ years between the boardroom and the architecture diagram — strategy, data and delivery tied to revenue, margin and decisions.
AI products, strategy, architecture and data foundations — from the business case to what runs in production.
Better Now
Built the AI/GenAI offering portfolio and the reference architectures behind consultative presales. 19 packaged offerings and 4 active alliances since joining.
Keyrus
Technical and delivery leadership across Data and AI programs for major accounts. 32 squads and 19 concurrent clients, with 71% renewal / 40% project margin.
Mayven
Mandate to reposition a technology consultancy: offering, commercial narrative and delivery operation. Result: 9 new contracts / +300% revenue in 12 months.
Glupy
Founded and led a self-service product for micro-markets, from concept to go-to-market. 116 installed points, R$ 2.9M in GMV processed per month, 87 B2B clients over 5 years.
Grupo FCamara
Full P&L, ~200 professionals. 7-year progression: Developer → Solutions Leader → Business Strategy Manager → Head of E-commerce & Digital → Director.
Origin
"I started out writing the code; today I answer for the number."
The questions that come up in every first conversation about AI — and the answers without the detour. This is how I frame the problem before designing anything.
With the process that already hurts and already has history in the data. A pilot without a reliable base becomes a demo, not a capability.
With a baseline measured before go-live and a business metric after. Without that, all you have is enthusiasm about the demo.
Closed scope, answers with a traceable source and PII limits defined before launch. Guardrails are a requirement, not a backlog item.
Cost per interaction times volume, plus the team that sustains it. That’s the math that decides scale or shut down.
My personal lab for turning opportunities into systems, products and operations with applied AI. Less hype. More method, context and real results.
From Digital, E-commerce, Marketplaces and Integrations to Data, Experimentation and — above all — AI: projects delivered end to end inside these accounts, from strategy to production.
Via
Renner
Tok&Stok
RD
Marisa
Marabraz
Cobasi
Gimba
Burger King
JHSF
Walmart
Infracommerce
Santander
Banco BMG
Claro
GWM
Goodyear
Casio
Roche Accu-Chek
DPSP
TMG
Tereos
HNT
Farfetch
Vila Nova
GDM Seeds
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