Code Climate
Evolved the architecture of Velocity and shipped capabilities that contributed approximately $1M in annual recurring revenue.
Principal Engineer · Founder · 20+ years shipping production systems
I turn ambiguous problems into systems that hold up in production.
I build AI agents, developer tools, and distributed systems at the intersection of product, architecture, and hands-on execution.
Engineering profile
Technical direction without leaving implementation behind
I have worked as a founder, CTO, engineering leader, staff engineer, and individual contributor across Brazil, North America, and Europe.
My best work happens in small, strong teams where I can reduce uncertainty, shape architecture, raise the engineering bar, and own consequential systems through production.
I use models to investigate, plan, implement, and review—but keep authorization, product judgment, and system invariants deterministic.
ENGINEERING AND LEADERSHIP EXPERIENCE
Selected work
Ideas expressed as working systems
Projects and production systems that show how I reason about reliability, product constraints, and engineering evidence.
Open source · Go · AI agents
GPTCode
An executable investigation into reliable coding agents: multi-model workflows, repository-native knowledge, and validation that produces evidence, not just answers.
Explore GPTCode →Architecture in public
GPTCode source
The implementation behind model routing, explicit research and planning stages, engineering skills, local tools, and verifiable execution.
Read the source →Founder · AI-native commerce
Zapfy
A commerce platform spanning agents, payments, fiscal operations, inventory, mobile applications, and physical point-of-sale hardware.
Visit Zapfy →Open source · Elixir · PostgreSQL
pgroll_ex
Elixir tooling that converts Ecto migrations into pgroll-compatible zero-downtime migration workflows.
View on GitHub →How I work
Reduce uncertainty with executable systems
01
Start from the operational outcome
Architecture exists to produce a product and business result. I make constraints and trade-offs visible before scaling the solution.
02
Build reference implementations
A focused working system is often more useful than a large speculative design. It exposes assumptions, integration risks, and real costs.
03
Demand production evidence
Tests matter, but correctness also depends on observability, release behavior, stable contracts, and what the system does under real load.
04
Use AI without surrendering authority
Models can contribute reasoning and execution. Deterministic systems retain permissions, invariants, verification, and final authority.
Selected experience
Hands-on systems, measurable outcomes
TransportAPI / First Bus
Designed and built Elixir/OTP systems supporting real-time transportation applications used by more than 3 million passengers across 40+ UK cities.
Industrial telemetry
Developed distributed systems processing more than 50 million events per day across 14 manufacturing plants.
Árvore
Helped grow the engineering organization threefold while improving execution across products serving more than 2 million monthly users.
Current focus
Principal engineering for consequential systems
I am interested in Principal Engineer and senior staff-level roles where I can remain hands-on, set technical direction, and own systems through production.
AI agents · agent evaluation and reliability · developer tools · distributed systems · PostgreSQL · Elixir · Go · TypeScript