Martin Artola is a lecturer and researcher with nine years of experience who bridges contemporary history and computational methods, currently augmenting his PhD grounding with a Master's in Data Science. He specializes in qualitative primary-source analysis and is translating that strength into quantitative, reproducible research at the intersection of social sciences and data. Academically seasoned across institutions in Spain, Finland, Russia, and Georgia, he has taught and published while mentoring students in archival and empirical methods. On the technical side he contributes to prominent open-source projects—improving front-end UX and SEO for the Hot Chocolate GraphQL ecosystem—demonstrating a practical knack for making research tools and websites more usable. Based in Tbilisi, he combines rigorous historical thinking with emerging data engineering skills to tackle complex social questions. He is open to collaborations that fuse deep contextual insight with computational rigor.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Geography and History, Bachelor's degree, Geography and History at University of Eastern Finland
Master's degree, Data Science, Big Data & Business Analytics, Master's degree, Data Science, Big Data & Business Analytics at Universidad Complutense de Madrid
Bachelor's degree, HISTORY, Bachelor's degree, HISTORY at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Welcome to the home of the Hot Chocolate GraphQL server for .NET, the Strawberry Shake GraphQL client for .NET and Nitro the awesome Monaco based GraphQL IDE.
Role in this project:
Front-end Developer
Contributions:10 reviews, 15 commits, 45 PRs in 1 month
Contributions summary:Martin primarily focused on enhancing the website's frontend, making improvements to the layout and user interface. Their work included fixing date formatting in the header, updating the website for services, and making improvements to the mobile web experience. They also added workshops to the training page and reordered elements for better usability. Furthermore, they implemented SEO enhancements by adding structured data snippets and link prefetching.
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Martin Artola - Lecturer at Tbilisi State University