Backend Engineer @ LuizaLabs — building the Open API layer of Magazine Luiza's logistics platform.
I design and maintain APIs that expose internal fulfillment, shipping and last-mile services to external partners and e-commerce clients. Day-to-day: Python (FastAPI), TypeScript (NestJS), event-driven microservices with RabbitMQ, Redis, Kong, and deploys via ArgoCD/Helm on GCP and AWS.
Primary → Python · FastAPI · Pydantic · SQLAlchemy (async) · pytest
Secondary → TypeScript · NestJS · TurboRepo
Infra → Docker · Kubernetes · ArgoCD · Helm · GitLab CI · GitHub Actions
Data → PostgreSQL · Redis · RabbitMQ
Cloud → GCP · AWS · MGC
AI/LLM → RAG pipelines · LLM agents · OpenAI API · LangChain
- Clean architecture in practice — hexagonal, CQRS and event-driven patterns where they actually pay off.
- Domain expertise — 4+ years in logistics, supply chain and fulfillment. I speak the language of SLAs, carriers, EDI and last-mile delivery.
- Shipping quality by default — pre-commit hooks, typed code, meaningful tests and CI/CD pipelines that don't surprise anyone on Friday.
| Project | Stack | What it does |
|---|---|---|
| colheita | FastAPI async · SQLAlchemy · PostgreSQL · Alembic · Next.js · TurboRepo | CSA subscription platform — production-grade architecture with testcontainers, structlog, ADRs and contract-first API design |
- Developing the new Magalog API standard — a TypeScript/NestJS monorepo that will be the unified barramento for Magazine Luiza's logistics ecosystem.
- Contributing to LuizaLabs' internal AI initiative — building a RAG-powered support chatbot and a shared library of reusable agents and skills.
