I work with Artificial Intelligence applied to real-world problem solving, combining academic research, software development, automation, and data analysis.
My work covers the full lifecycle of AI solutions:
- Data collection and automation
- Data structuring, analysis, and visualization
- Software engineering and system development
- Machine learning, fine-tuning, and model application
- Insight generation with business and practical impact
I have experience in academic and applied AI projects involving machine learning, model fine-tuning, integrated data analysis, sensor data, and multidisciplinary collaboration.
| Project | Focus |
|---|---|
| The Impacts of Air Pollution on Health | Real-time sensor data analysis |
| Failure Prediction in Electric Motors | Machine learning applied to industrial data |
| Fine-Tuning Mistral-7B with QLoRA | Financial and industrial data analysis |
| UniSenai Conference | ML models and visual analytics for failure prediction |
| REMAMA Extension Project | Sensor-integrated garment for monitoring and rehabilitation |
| FREnTE Exchange Program | Brazil-USA research collaboration with UFMS, SENAI-SP, Georgia Southern University, and ISI Biomass |
SENAI São Caetano do Sul – Cyber & IA
Higher Education Technology (CST), Data Science
Activities
- Undergraduate Research
- Extension Project
- UniSenai Conference
- Exchange Program