Platform Engineering · SRE · AI Platform
Engineering to ship software and AI to production, with scale and reliability.
From the Kubernetes platform to LLM serving, I help teams build, modernize and operate environments that are secure, observable and ready to grow.
Areas of expertise
Technical work focused where engineering decisions most impact the business.
Reusable golden pipelines, keyless authentication and live migrations — without stopping the business.
Running clusters at scale with GitOps, autoscaling, service mesh and secrets as code.
SLOs, tracing and incident response with real root cause — code and infra, each in its own scope.
Infrastructure 100% as code and cost under control — ephemeral environments, Spot and data-driven sizing.
From the production ML lifecycle to LLM serving and RAG — the platform that serves AI without reinventing the chassis.
Technical decisions, architecture roadmaps and engineering team development.
Results that back the conversation
Figures from prior work as a platform engineer at a Brazilian fintech at scale (global payments group) — orders of magnitude, anonymized.
in deploy time of the most critical service (40 → 20 min)
in the live migration of the CI/CD pipeline across ~70 repositories
Kubernetes in production, 100% Spot, with hundreds of apps on GitOps
of over-allocated RAM reclaimed in observability FinOps
Got a platform, scale or AI challenge?
Tell me the context and the goals. In an intro call we assess together how to unlock your product's next phase.