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: es.loch@gmail.com
LinkedIn | GitHub | X (Twitter)