Automated Glaucoma Diagnosis with CNNs
Undergraduate research fellowship building an automated glaucoma diagnosis system based on Convolutional Neural Networks, focused on model optimization and testing against medical imaging databases.
Hi, I’m
Computer Engineering student · Machine Learning & Predictive Analytics
Using machine learning and predictive models to make supply chain and production planning more accurate, from demand forecasting to data-driven decisions.
Final-year Computer Engineering student at UTFPR focused on software development and applied machine learning. I build predictive models and data pipelines to make supply chain and production planning more accurate at WEG. Previously at Brikz AI, I built multi-agent AI systems on the Google Cloud ecosystem and document-analysis tooling for financial operations.
Build machine learning models to predict market demand so planning runs on real facts instead of guesses. Monitor end-to-end planning, keep SAP data accurate and help the team work faster and smarter with data.
Built internal systems across Google Workspace and Google Cloud, including multi-agent AI pipelines on Vertex AI. Worked on the automated analysis of articles of incorporation and on tooling for FIDC receivables-fund operations.
Undergraduate research fellowship building an automated glaucoma diagnosis system based on Convolutional Neural Networks, focused on model optimization and testing against medical imaging databases.
Outreach project promoting the understanding of science and technology in the community, encouraging young students toward STEM careers. Published paper: Ninho de Pardais: promovendo o entendimento de ciência e tecnologia no meio social.
Internal projects built on the job. Code and data are proprietary, so what follows is a description of the work rather than a public repository.
Machine learning and probabilistic models that guide production planning with real facts, not guesses.
Data engineering and SAP data governance that feed predictive models and keep planning accurate.
Multi-agent systems and AI pipelines on Vertex AI, with internal tooling across Google Workspace, automating the review of articles of incorporation for FIDC receivables-fund operations.
Federal University of Technology, Paraná, Brazil. Emphasis on software development, embedded systems and computer vision.
I’m always open to research collaborations, engineering challenges and new opportunities in ML, computer vision and agentic AI.