I am a Senior Software Engineer with 15+ years of experience designing and delivering distributed backend systems for payments, credit, and financial services. I build production-grade applied AI and agentic systems using Python, FastAPI, LLMs, and RAG, combining hands-on engineering with technical leadership in retrieval evaluation, API integration, observability, and reliability.
My background spans Java and Golang microservices, Kafka-based event-driven architecture, and scalable services on AWS and GCP. I have delivered payment integrations at Repay, credit and payment platforms at Blackstone, and large-scale government systems at Dataprev. In freelance AI work, I reduced response times by 20%, maintained 99.9% availability, and increased delivery speed by 35% through reusable components.
I hold a master’s degree in Computer Science from UFCG and am pursuing an Applied Artificial Intelligence engineering program at UNIPDS. I speak fluent English (C1) and Portuguese, and I am interested in remote senior engineering opportunities in applied AI, agentic systems, and distributed backend development.
Additional technical experience includes Django REST Framework, GitHub Actions, AWS EC2/S3/RDS/ECS/CodeBuild/CodeDeploy, Apache Ignite, Datadog, Splunk, Pytest, Cucumber, unit and integration testing, incident response, and AI-assisted development with Claude and Cursor. My language experience includes Java (15+ years), Python (7+ years), Go (5+ years), and JavaScript (4+ years). My master’s research focused on distributed systems and scalable software architecture; during my bachelor’s degree, I published a paper on network optimization protocols.