At BTG Pactual, I develop AI agents for operational and regulatory processes in the financial sector. One agent reads, interprets, and completes investment fund regulatory documents, replacing work previously performed by an external consultancy and generating estimated savings of R$ 3 million.
I also developed a Microsoft Teams-integrated agent that helps fund managers access fund information and trigger portfolio processing. Other workflows automate recurring tasks, freeing around 2 hours and 15 minutes of daily team capacity.
At JGP - Credit, I developed the Credit Agent, bringing together corporate data, financial documents, news, ratings, and committee history for credit analysis. I also developed a machine learning model to estimate corporate credit ratings and integrated its inference pipeline into analysts’ workflows.
Earlier, as a Data Science Intern at Inova Cities, I developed an API connected to Health Department data and a machine learning solution for tax revenue forecasting. I also contributed AI and Back-End leadership to FeedAI, which placed second at the Borderless Coding Hackathon.
