I help organizations turn AI and enterprise transformation into measured business results — building the strategies, governance, and operating models that executives trust, engineers adopt, and regulators approve. 25 years at Microsoft. Founder of an AI health company with a platform in production. Author of two books. Every outcome below is real and measured.
I started in Brazil, modernizing systems across 200+ bank branches and building Globo.com’s first datacenter at the portal’s 2000 launch, and spent the next 25 years at Microsoft moving steadily from hands-on engineering to enterprise leadership: field engineer and architect for Fortune 500 clients, builder of a $200M+ global services business, and ultimately the leader responsible for compliance, resilience, and AI-powered governance across the 200+ engineering teams that ship Windows every month. The through-line was never a technology; it was a question — how do you make large organizations fast and trustworthy at the same time?
That question connects the seemingly different chapters. Compliance work taught me that governance done well accelerates delivery rather than slowing it. AI work — from early automation and decision-support systems to today's production agents — taught me that intelligence only creates value when people can trust and adopt it. Founding a healthcare AI company taught me what it costs to earn that trust when the stakes are clinical and the capital is my own. Writing and mentoring taught me that durable impact is measured by the capability you leave in other people, not the work you keep for yourself.
Today I lead from that intersection: an executive who has owned the strategy, built the systems, run the organizations, and shipped the AI — now applying all of it to help enterprises make their next transformation real. I work between the U.S. and Brazil, write in two languages, and measure everything I build.
How I lead organizations, make decisions, and build systems — each principle earned in practice, not adopted from a book.
If an initiative matters, it has a baseline, a target, and a system of record. Decisions ride on data, not escalation volume.
Well-designed controls remove ambiguity, rework, and fear. My compliance programs shipped faster with gates than without them.
Every AI system I have shipped keeps humans accountable where judgment matters — and earns adoption because of it.
Auditability, traceability, privacy, and honest evidence are designed in, not promised later.
Playbooks a team can run beat frameworks a consultant can present. If it cannot be operated, it is not finished.
Champions, enablement, and credibility move organizations further than authority ever has.
The structures I build are designed to outlive my involvement — and the best ones have.
A strategy without an operating model, owners, and metrics is a document. I build the rest.
Banking & media infrastructure; 200+ branch modernization; built Globo.com’s first datacenter (Grupo Globo, 2000).
Trusted advisor to Fortune 500 clients; datacenter implementations for Yahoo!, Petrobras, TIM; invented the $40M+ Onboarding Accelerator; Microsoft Certified Master.
Built a $200M+ practice from zero; managed and developed a 20+ person organization for six years.
Security, resilience & continuity across hundreds of services; champions network; >99% initiative completion.
Windows release governance across 200+ teams; production AI agents; zero major audit findings.
AI health company with a platform in production for 2.6M+ customers; two published books.
Most executives go deep in one of these five. My career integrates all of them — not as a generalist skimming each, but as an operator who has owned real outcomes in every one: production AI shipped, products built and scaled, programs governed across 200+ teams, a $200M business operated, and compliance delivered with zero major findings. That integration matters because AI-era transformation fails between these disciplines, not inside them.
What that combination produces — strategies, products, programs, and operating systems that:
Four programs from 25 years at Microsoft, each in the same shape: the problem as it actually was, what I built, and what measurably changed.
The programs above ran on people. Building, aligning, and developing them has been the constant discipline underneath every outcome on this page.
Formally managed, coached, and developed a 20+ person team for six years — hiring, priorities, performance, succession — while scaling a ~200-consultant global delivery model; today lead a distributed U.S.–Brazil executive and engineering organization as a founder.
A career-long operating condition: aligning engineering, legal, security, privacy, and product leaders across matrixed organizations — driving a company-critical initiative past 99% completion across hundreds of services, none of whom reported to me.
Built champions networks and communities of practice that turned hundreds of service owners into an aligned delivery force — with cohort onboarding, rotation structures, and development paths that outlived the programs they served.
100+ professionals mentored through Atitude Infinita (Vice President & Board Leader) and individual practice; Visiting Professor in executive development; author of a book on mentorship as a discipline.
Years of CVP-level operating rhythm: converting complex technical reality into decision-ready narratives, and strategic intent into coordinated execution with owners, milestones, and measures.
Built practices, programs, and companies where no playbook existed — from a $200M business designed on a blank page to a compliance operating model regulators had not yet imagined.
My AI record did not begin with generative AI. For years before the current wave, I designed automation systems, decision-support workflows, governance mechanisms, knowledge systems, and human-in-the-loop processes for intelligent enterprise operations — the disciplines that determine whether AI creates value or risk. When large language models made new things possible, that foundation converted directly — into the working systems below, each in production or shipped, each with measured outcomes. Client and platform specifics are summarized to respect confidentiality; I am happy to go as deep as you would like in conversation.
A five-product AI health portfolio built and led as founder/CEO (concurrent with Microsoft, authorized) — plus earlier ventures. Products with real users, real stakes, and my own capital at risk.
Agentic conversational platform handling live operations for a major Brazilian public utility serving 2.6M+ customers.
Occupational mental-health assessment platform for regulatory compliance (NR-1): validated clinical instruments, psychiatrist sign-off, k≥5 anonymity by design.
AI-native digital health ecosystem for mental health (Clinic · AI · Edu), including a pharma-facing Knowledge Intelligence Layer converting clinical-session engagement into anonymized analytics.
White-label clinical nutrition platform with an anchor medical partner, and a gamification/BI platform for medical congresses.
Publicly covered as the world's first augmented-reality dating app: concept to global iOS/Android launch in ~9 months on a $1.5M seed — and wound down deliberately when the economics didn't hold. I talk about shipping, and about stopping.
Advisor to the CEO of a marketplace startup; contributed to 100% year-over-year growth.
A Nova Era da Saúde Mental com Inteligência Artificial — Artmed, 2026 (forthcoming). Co-authored with the president of the Brazilian Psychiatric Association: a clinical and governance view of AI in mental healthcare.
O Legado do Mentor — 2025. On mentorship as a leadership discipline, drawn from 100+ professionals mentored.
Technology creates value only when people trust it.
AI succeeds when governance accelerates responsible innovation, not when it merely permits it.
The best operating models disappear — they become how the organization naturally works.
Strategy matters only when it becomes measurable execution.
Leadership is measured by the capabilities left behind.
Looking for a leader to build AI strategy, enterprise transformation, trusted operating models, or governance at scale? That is the work I do best — and everything on this page is the evidence.