Martina Vilas
Computer Science PhD Student at Goethe University Frankfurt
Frankfurt, Hesse, Germany
Summary
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Rockstar🎓
Top SchoolMartina Vilas is a computer scientist and PhD researcher based in Zurich with eight years of experience focused on evaluation and interpretability of AI models. She bridges rigorous academic research at Goethe University and practical industry work at NVIDIA and Microsoft Research, bringing both experimental and production-minded perspectives to model analysis. Martina is an active open-source contributor, improving UX and build tooling in notable projects like jupyter-book and The Turing Way, which highlights her full-stack chops across front-end, back-end and testing. Her background in psychology (top-graduating Licenciatura) informs a human-centered approach to AI evaluation, blending cognitive insight with technical rigor.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Goethe UniversityLicenciatura degree, PSYCHOLOGY, 9.48/10, Licenciatura degree, PSYCHOLOGY, 9.48/10 at Universidad Favaloro
English, Spanish, German
Github Skills (14)
javascript10
sphinx-doc10
python10
jupyter9
jekyll9
documentation-generator9
html9
css9
testing8
cicd8
markdown7
markdown-it7
data-science5
co4
Programming languages (5)
Github contributions (5)
the-turing-way/the-turing-way
Feb 2020 - Aug 2021
Host repository for The Turing Way: a how to guide for reproducible data science
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 105 commits, 6 PRs in 1 year 5 months
Contributions summary:Martina contributed to the codebase by updating the website's front-end and back-end components, including modifying the sidebar and javascript files to improve functionality and user experience. They integrated and updated the existing javascript logic within the project. The user also added and modified scripts for the website build process, particularly focusing on HTML proofing and link checking to ensure code quality.
how-to-guidesciencehut23-270hostdata-science
jupyter-book/jupyter-book
Aug 2019 - Apr 2020
Create beautiful, publication-quality books and documents from computational content.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:15 commits, 2 PRs, 7 comments in 8 months
Contributions summary:Martina primarily focused on enhancing the user interface and improving the project's functionality. They created a footer component and integrated it into the default HTML layout, suggesting UI development. Additionally, the user modified build processes and added features related to the handling of bibliographic data and test setup within the project, showing backend and testing proficiency.
pdfdocumentation-generatorjupytersphinx-docquality
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