Professional Experience

Age Consulting

Freelancer – Full-Stack

Development of desktop applications for financial management and data analysis for internal use. Enhanced the internal boleto processing system leveraging Apache PDFBox.

JavaNode.jsAngularMySQLElectron

2023-10-01 – 2024-03-25 · (6 months)

Compass UOL

Intern – AWS Data Engineer

Development of data pipelines for large-scale ingestion and processing, integrating with AWS cloud services. Studied data modeling and normalized database architectures.

AWSPythonPostgreSQLDocker

2023-11-06 – 2024-04-30 · (6 months)

Expedit LawTech

Junior – Back-end Developer

Improved performance, scalability, and database optimization in the legal management API. Built advanced queries using native SQL with JDBC and JPA (Spring + MySQL), dramatically reducing response times.

JavaSpring BootMySQLDockerWebSocketAWSMongoDB

2024-01-30 – 2025-08-31 · (1 year and 8 months)

Promotion

Mid-level – Full-Stack Developer

Evolved Java (Spring Boot) microservices for legal automation: email delivery, report generation, and large-scale data imports. Improved the payments API performance and reliability, and integrated AI (RAG) capabilities into the platform with a focus on resilience, scalability, and production readiness.

JavaSpring BootMySQLDockerWebSocketAWSMongoDBPythonLangChainQdrantMCP

2025-09-01 – Currently · (10 months)

What I Can Do

Databases

Efficient modeling and management of modern databases (MySQL, PostgreSQL, Redis, MongoDB). Optimized queries, guaranteed integrity, and high performance at any scale.

Back-End

Robust and scalable APIs with Java and Spring, applying Clean Code, YAGNI, KISS, DRY, Clean Architecture and DDD. Whether monolith or microservices, the architecture is ready to evolve at scale.

Front-End

Modern interfaces with Angular for robust systems and Next.js for SEO-focused websites. Always responsive, accessible, with top-level UX and a modern, minimalist design.

Engineering

Software and product engineering: from discovery to value delivery. Solid requirements, critical analysis, scalable architecture and code ready to evolve with documentation and a clear workflow.

AI Agents

Intelligent agents with RAG and LangChain. Integration of language models with APIs, MCPs and external services. Creation of data pipelines for advanced processing and analysis.

Cloud

Study and implement solutions in AWS (EC2, S3, Lambda, SQS...). Infrastructure as Code (Terraform), automated deployments and cloud-native practices. Always learning, open to new challenges!