I am a Full-Stack DevOps Engineer and Open-Source Contributor, specializing in backend development, automation, and scalable infrastructures. My expertise spans CI/CD pipelines, infrastructure automation, data-driven solutions, and DevOps best practices, supporting scientific research, public health, and AI-powered applications.

• Programming & Scripting: Python, SQL, Bash
• Web Development & APIs: Django, Django Rest Framework, Django ORM, Bootstrap
• Data Management & Analysis: PostgreSQL, SQLAlchemy, Bucardo, MinIO, Pandas, Dask, Ibis
• DevOps & Automation: Docker, Ansible, GitHub Actions, Celery, APScheduler
• Networking & Infrastructure: Linux Servers, DNS, DHCP, Group Policy, Hybrid PABX Systems
• CI/CD & Testing: GitHub Actions, deployment pipelines, unit testing
• Security & Compliance: ITIL best practices, data integrity, process automation
• Visualization & Reporting: Plotly, Matplotlib, Highcharts
• Package Management: Conda, Poetry, Pip
• Tools & Technologies: Elasticsearch, Redis, NGINX, Let’s Encrypt

I actively contribute to high-impact open-source projects, leveraging technology for scientific research, data accessibility, and AI-driven solutions:

• es-journals – Automated retrieval of the latest BioRxiv and MedRxiv papers, integrating them with existing datasets for real-time scientific literature updates.
• InfoDengue – Epidemiological data analysis and predictive modeling for public health.
• EpiGraphHub – Epidemiological data integration and visualization.
• RAGO – Retrieval-Augmented Generation (RAG) for AI-assisted document search.
• PySUS – Data processing library for analyzing datasets from the Brazilian Unified Health System (SUS).

📄 View My CV (2025)
📫 Email: [email protected]

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