Atanasoska Tamara
Berlin, Germany
Summary
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RockstarTamara Atanasoska is a research-oriented software engineer with 14 years of experience combining machine learning, computational linguistics and applied software development from Berlin. She currently works at the Weizenbaum Institute and serves as an OSS maintainer for Fairlearn, bringing practical fairness expertise to production and research settings. Her background spans industry R&D roles (Explosion, Ableton, :probabl.) and NGO-focused tech programs, reflecting an unusual blend of product engineering, developer relations and social-impact projects. As a contributor to scikit-learn she has improved reproducibility and data validation—work that quietly strengthens ML reliability for many users. Tamara holds advanced training in cognitive systems and computational linguistics and often bridges technical and non-technical stakeholders to turn interdisciplinary research into usable tools.
14 years of coding experience
Github Skills (12)
scikit10
rep10
machine-learning10
repr10
python10
data-science10
scikit-learn10
data-analysis9
validation9
validations9
statistics8
numpy8
Programming languages (5)
Github contributions (5)
scikit-learn/scikit-learn
Aug 2023 - Feb 2025
scikit-learn: machine learning in Python
Role in this project:
Data Scientist
Data ScientistContributions:17 reviews, 5 PRs, 38 comments in 1 year 7 months
Contributions summary:Atanasoska's contributions focused on enhancing the reproducibility of examples and adding features to the scikit-learn library. They fixed `random_state` usage in several example files to ensure consistent results across different runs. Additionally, the user implemented an `ensure_non_negative` option within the `check_array` function, contributing to more robust data validation practices. These changes align with improving the library's usability and reliability for machine learning tasks.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
TamaraAtanasoska/scikit-learn
Aug 2023 - Feb 2025
scikit-learn: machine learning in Python
Contributions:56 pushes, 12 branches in 1 year 7 months
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