At ALBERT EINSTEIN HOSPITAL, I develop agents for financial resource allocation, asset maintenance, and AI-assisted OPEX/CAPEX workflows. I also architect self-healing workflows that detect failures, propose corrections, and validate changes before they affect operations.
At CUBIC TELECOM, I built AI-enabled service-delivery workflows for automotive telecommunications operations, reducing daily manual coordination from 22 hours to 8 minutes across approximately 15 engineers. I engineered conditional execution paths and exception handling for production edge cases.
My work has also included agentic business applications at NETVISTOS, Datadog Marketplace integrations at JLCP TECNOLOGIA, and a B2B application with AI microservices at POMME TECH. At the UNIVERSITY OF SÃO PAULO, POLYTECHNIC SCHOOL, I developed and evaluated a machine-learning system for thyroid cancer detection that achieved up to 91% accuracy on an independent test set.

