• Multi-agent architecture for forming a Data & Analytics squad • Standardized validation methodology for LLMs on complex tasks • Software development methodology integrating AIs and LLMs • Case study in the investments area

• Arquitetura multiagentes para formação de Squad de Dados & Analytics • Metodologia de validação padronizada para LLMs com tarefas complexas • Metodologia de desenvolvimento de software com IAs e LLMs • Impacto do uso de multiagentes de Dados & Analytics na produtividade, estudo de caso na área de investimentos

• developing, maintaining, and migrating our Onboarding applications and services • focused on continuing to build on the core set of solutions and assist in the migration efforts of new and existing software solutions to the cloud • work closely with product owners and the software engineering Tech Lead to help execute on the team’s engineering efforts • work independently and provide technical guidance on software engineering needs in the organization

• Design, develop, and maintain scalable and resilient cloud-native applications for core PLS workflows and services. • Build and enhance full-stack features using Java, React, RESTful APIs, event-driven patterns, and AWS-managed services. • Implement and optimize data ingestion and processing components—including batch and streaming workflows—using Spark, Scala, and Python where appropriate. • Improve system stability, data quality, and performance by refining workflows, optimizing service designs, and closing monitoring/alerting gaps. • Lead the maturation of prototypes or proof‑of‑concepts into production-ready services. • Contribute to the modernization of legacy components into modular, maintainable, and extensible architectures. • Strengthen CI/CD pipelines, infrastructure-as-code, automated testing frameworks, and overall engineering rigor. • Write and maintain robust unit, integration, and end‑to‑end tests. • Partner with product management, architects, and engineering peers to drive roadmap execution and deliver high-quality, customer-ready solutions. • Mentor and coach engineers to elevate coding practices, architectural thinking, and product quality across the PLS organization.