I am a Back-End Developer working in production with microservices, event-driven architecture and applied AI, using Python/FastAPI, TypeScript/Node.js, PostgreSQL, Redis, RabbitMQ, Docker and AWS.
- Software Engineering Intern at VulcaNet - Systems and Engineering
- Software Engineering student at PUC-Campinas, graduating in 2028
- Experience with event-driven microservices (RabbitMQ, Outbox Pattern), RAG and LLM pipelines, ETL with Prefect over an OLAP database (ClickHouse), and observability with Grafana
- Linux and Open Source culture enthusiast
Languages
Back-end & APIs
REST • GraphQL • gRPC • WebSockets • SSE
Data
ClickHouse (OLAP) • Prefect
DevOps & Cloud
Lectern – Self-hostable RAG backend for grounded conversational APIs
Headless backend that turns a declared identity and a set of documents into a grounded conversational API. Built with FastAPI, PostgreSQL, Qdrant, Redis and Celery, it ships an assembled RAG pipeline with per-session memory, JSON or SSE streaming answers, server-side audio transcription and analytics on every exchange.
Async Job API – Serverless API for asynchronous job processing
Serverless backend API for asynchronous job processing, built on an event-driven architecture. The client gets an immediate response while the job runs in the background, and its status can be queried at any time. Built with AWS Lambda, API Gateway, SQS, DynamoDB and S3, provisioned as infrastructure as code with AWS SAM.
StockFlow API – REST API for inventory management with auditable integrity
REST API for inventory management with auditable integrity: every stock movement is hashed with SHA-256 and anchored to the Bitcoin blockchain via OpenTimestamps. Built with Flask, PostgreSQL, SQLAlchemy and JWT.
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"Most good programmers do programming not because they expect to get paid or get adulation by the public,
but because it is fun to program."
— Linus Torvalds |