Ana Ferreira is a Berlin-based PhD candidate and researcher at the Robert Koch Institute who blends 11 years of software engineering experience with applied AI for public health. She specializes in unsupervised learning to improve surveillance indicators and created the Open Syndrome Definition format to standardize sharing of public-health threats. Her background spans building production ML pipelines, data engineering for government transparency projects (notably contributions to OKFN Brazil repositories), and modernizing legacy Python systems. Comfortable across stacks—from Clojure microservices and Kafka at Nubank to Airflow and CI/CD—she emphasizes automation, interoperability, and open-source principles. Colloquially a "master of none" Latina, she pairs rigorous research with pragmatic engineering to make public health data more usable and transparent.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Freie Universität Berlin
Undergraduate, System Analysis, Undergraduate, System Analysis at UNEB - Universidade do Estado da Bahia
Técnico em Informática, Manutenção, Desenvolvimento e Redes, Técnico em Informática, Manutenção, Desenvolvimento e Redes at Centro de Educação Tecnologica do Estado da Bahia
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal de Minas Gerais
📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone.
Role in this project:
Back-end Developer
Contributions:71 reviews, 15 commits, 20 PRs in 3 years 6 months
Contributions summary:Ana primarily contributed to the data collection and processing aspects of the project, specifically focused on scraping data from Brazilian government gazettes. They added and fixed spiders for various municipalities, like Feira de Santana, and also worked on creating a spider generator tool. Their contributions involved Python code, including the use of the Scrapy framework, to extract and process gazette information.
No longer maintained, please migrate to model_bakery
Role in this project:
Back-end Developer
Contributions:15 commits, 8 PRs, 7 pushes in 1 year 1 month
Contributions summary:Ana made several commits that modified the `model_mommy` library, which seems to be a tool for creating model instances for testing in Django. Contributions include implementing features, such as automatically refreshing instances from the database, and fixing issues related to Python 2 compatibility. The commits also reflect changes in recipes and modifications to support and maintain the project.
bakerymigrate
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