Contextual IA platforms · Engineering at scale
I build digital products and the teams that ship them. CTO of Bud, a SaaS company where I build the product end-to-end: AI agents for strategy and performance, in production across the product, Microsoft Teams, and WhatsApp. Also CTO at BRQ, where embedded product teams build and operate digital products inside large enterprises. I write about agentic software engineering as a practitioner.

I combine executive leadership with hands-on product development.
I'm CTO of Bud — a SaaS company where I build the product end-to-end, 0→1. Bud is a platform for strategy and performance management with context-aware AI: its Bud Coach agents (Goal Setting, Calibration, Performance & Development) reason over each company's strategy, goals, and performance data — not generic prompts — and run in production across the product, Microsoft Teams, and WhatsApp. Companies like General Mills, Sakata, Eniac, Evolve, Latina, and Alphabot run on it.
I'm also CTO of BRQ's Digital Products Studio, where we build and operate digital products inside large enterprises: our teams embed as an extension of each client's product organization, owning the product from discovery through ongoing operation. There I built Backpack, the Studio's internal agent platform. The two roles are deliberate — at Bud I go deep on one product; at BRQ I scale the same practice across many.
At Senior Sistemas, I ran the X Platform product unit — full P&L, building the developer platform (dev portal, APIs, SDKs) that turned an ERP into an extensible platform. At Nuvemshop, I built the LATAM Enterprise operation — distributed teams across Brazil, Argentina, and Mexico — that lets large merchants extend the core product. I spent almost a decade at Accenture leading embedded teams that built and operated digital products inside enterprises like Itaú, Globo, and Google — and helping scale the operation from 40 to 700 people.