AI ENGINEERING / MACHINE LEARNING / RESEARCH
From models to reliable AI systems.
I build LLM workflows, evaluate learning systems and research quantum-fuzzy methods at UFPel. Every project shows its evidence and limits.
Orders in. Validated data out.
Screenshot from the project · workshop challengePDF purchase orders to validated EDIFACT, with LLM extraction and human reconciliation.
External LLM matched line counts in 4/4 formats; catalog matching remained the bottleneck
I am a FAPERGS research fellow with Q-Flex at UFPel, working on quantum-fuzzy inference. Earlier work with ViTech examined CNN architectures for computer vision.
More about my background ↗A hybrid classical-quantum formulation of fuzzy CRI inference, with a triage case study.
A systematic literature review of classical data encoding strategies for hybrid quantum machine learning.
AI and ML engineering opportunities, research collaborations, or a question about the systems and experiments shown here.