At PUCRS - Dell Partnership, I delivered applied analytical and AI solutions from exploratory analysis through modeling, validation, integration, and production implementation.
I built and evaluated predictive models for energy-consumption optimization and classification models for industrial machinery scheduling. I compared alternatives, interpreted results, refined models after testing, and retrained them with updated data.
I also developed LLM/RAG solutions for behavioral user identification and database-query risk classification, including data treatment, embedding generation, golden-dataset evaluation, and output verification. I integrated models into Python applications and APIs and developed Grafana dashboards for monitoring.
Previously, at Nelogica, I developed and maintained a production desktop application and extended a stock-trading strategy platform’s compiler and interpreter. As an intern at CEPES - PUCRS & Dell, I contributed to software deliveries and developed Python and Node.js backends alongside React frontends.
