Building on my foundation in Biomedical Engineering, I am passionate about bridging the gap between Healthcare, Data Engineering, and Artificial Intelligence.

I enjoy working across the entire data lifecycle, from orchestrating ETL pipelines and building interactive dashboards, to training Generative AI and Computer Vision models to solve real-world problems.

• Languages: Python, SQL, HTML/CSS
• Machine Learning & AI: PyTorch, Scikit-learn, CNNs, GANs, Diffusion Models
• Data Engineering & BI: Pandas, Pentaho (PDI), Supabase, PostgreSQL, Dash, Plotly, Tableau
• Workflow: Git, GitHub

• Public Health Dashboard (SNS): Automated data pipeline and interactive Dash/Plotly application to track regional hospital stress indicators.
• Computer Vision & Generative AI: Image classification architectures and synthetic data generation using VAEs, GANs, and Diffusion models.
• ETL Pipeline Automation: Pentaho and PostgreSQL/Supabase orchestration for business intelligence analysis.

Languages: Native Portuguese, Professional English.