Senior Cloud Software Engineer building reliable backend platforms, AWS infrastructure, and applied AI systems.
I work with Python, AWS, Terraform, and event-driven and distributed architectures. My focus is turning complex platform and AI problems into production systems that are observable, maintainable, cost-conscious, and useful to the teams that run them.
- Backend & distributed systems: Python, FastAPI, Go, APIs, asynchronous processing, Redis, and PostgreSQL
- Cloud & platform engineering: AWS, Terraform, Docker, Kubernetes, CI/CD, observability, performance, and cost optimization
- Applied AI: LLM applications, RAG, multi-agent workflows, LangGraph, Amazon Bedrock AgentCore, and Strands Agents
- pyforge — FastAPI backend starter with SQLAlchemy 2.0, Pydantic v2, and clean architecture.
- rate_limiter_in_go — Redis-backed distributed token-bucket rate limiter for APIs, with Gin middleware and a reverse-proxy sidecar.
- logiSync — Logistics tracking pipeline using Go, Redis Streams, PostgreSQL, and a portal scraper.
- VideoInsightAI — AI-assisted analysis of YouTube videos and playlists, with transcript extraction and summaries.
- youtube-transcript-copier — Browser extension for copying YouTube transcripts into AI workflows.
- AWS Certified Developer – Associate
- HashiCorp Certified: Terraform Associate (004)
- AWS Certified Cloud Practitioner
LinkedIn · Based in Brazil · Open to remote collaboration


