I'm a Software Engineer
From São Paulo, Brazil, I'm a Software Engineer with 11 years of experience designing and building backend systems for distributed, high-availability environments.
I design and build backend systems for distributed, high-demand environments, focused on reliability, scalability, and performance.
I make architectural decisions for systems that need to scale safely under strict regulatory and availability constraints.
I build LLM-based applications, RAG pipelines, and agent systems, with a focus on observability in production.
Henrique is a professional with excellent technical command and a strong commitment to the quality of his work. He has always shown proactivity, maturity in decision-making, and the ability to add value both technically and as part of a team.
I had the opportunity to work with Henrique and I can say he is an extremely competent, dedicated, and collaborative professional. During the time we worked together, he showed great technical ability and always stayed focused on the goals, adding great value to the team.
Henrique is a dedicated and extremely competent person in what he does, and always showed skill, technical ability, and proactivity in solving the problems that came up. He puts forward his ideas to further improve the work requested, which will certainly make him a good Systems Analyst.
Henrique is an exemplary professional with impeccable character. Always committed to the company's vision and mission, he strongly pursues applying his technical skills to contribute to the business. He has a unique ability to engage people in teamwork and achieve excellent results! It's always a great pleasure to work alongside professionals like Henrique!
Eleven years designing and building backend systems in Python, Go, C#/.NET, and Node.js/TypeScript, with a focus on reliability and scale in high-demand, distributed environments.
Hands-on experience running production workloads on AWS, provisioning infrastructure with Terraform, containerizing with Docker and Kubernetes, and building event-driven pipelines with Kafka.
Comfortable across relational (PostgreSQL, MySQL, SQL Server) and non-relational (MongoDB, Redis) databases, choosing the right store for consistency, scale, or latency needs.
Building LLM-based applications and agent systems with LangChain, LangGraph, and MCP, and using AI-native tools like Claude Code, Cursor, and Devin in daily engineering work.