Head of Engineering · Platforms · Payments · Applied AI
Critical platforms that turn technology into business scale
I lead engineering in high-scale environments, combining distributed architecture, reliability, payments, and governed artificial intelligence. I build platforms that increase team autonomy, reduce operational risk, and deliver measurable results.
I have led transformations at Serasa Experian, Visa, and Mercado Libre, coordinating multidisciplinary teams across Engineering, Product, SRE, DevSecOps, Security, Compliance, Finance, and commercial organizations.
What I deliver
Strategy, architecture, and execution connected to customer, operational, and business metrics.
Governed applied AI
Agents, RAG, MCP, evaluations, autonomy limits, auditability, and human review for financial operations and critical back offices.
Financial platforms
Ledger, idempotency, events, reconciliation, antifraud, reversals, and end-to-end traceability in regulated environments.
Reliability and scale
SRE, observability, low latency, capacity planning, resilience, and predictable handling of traffic peaks.
Platforms and autonomy
Shared capabilities, self-service, delivery standards, and operating models that remove repetitive work from engineering.
Featured case studies
Four transformations led at real-world scale, with technical and business impact.
From tightly coupled architecture to a high-scale platform
Scalable caching, Go services, Redis, asynchronous processing, and capacity planning for critical Limpa Nome, eCred, and Premium journeys.
Unified checkout and AI-assisted financial reconciliation
Integration of a payment institution, ledger, and event-driven architecture with Bedrock/RAG agents and human approval for financial adjustments.
Event-driven accounting with governed AI
Adoption of Pismo capabilities, traceable events, cross-region resilience, and Bedrock agents for accounting investigations under human control.
AI-enabled back office to scale launches and the business
Bedrock, Claude, MCP, and RAG applied to product rules, integrations, inventory, and previous failures to give Commercial teams greater autonomy.
How I apply AI in critical environments
I integrate AI into operational architecture with security, clear objectives, and explicit accountability.
Intelligent reconciliation
Agents correlate events, ledger entries, tracking IDs, and settlements to investigate discrepancies and recommend actions.
Assisted back office
Commercial users validate launches, data, and inventory without turning engineering into an operational support layer.
Human-in-the-loop
Low confidence, inconsistent output, or financial impact routes the case to a human owner before execution.
Experience that connects technology and business
End-to-end leadership
My work combines architectural decisions with team design, clear ownership, and operational governance. I have led initiatives ranging from high-traffic shared platforms to regulated financial integrations and international operations.
I work closely with Product, Engineering, SRE, Infrastructure, Security, Finance, Legal, Compliance, and commercial teams. The goal is not simply to modernize technology, but to turn platforms into engines of growth, reliability, and autonomy.
For AI, I prioritize use cases with verifiable impact, including financial reconciliation, exception investigation, launch validation, and context-aware automation. Each application uses evidence, boundaries, and oversight appropriate to its risk.