Head Of Language Models at Nasjonalbiblioteket | The National Library of Norway
Oslo, Norway
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Javier De La Rosa is Head of Language Models at the National Library of Norway, bringing 16 years of experience building applied NLP and computer vision solutions for heritage and public-facing systems. He combines academic rigor—a PhD in humanities—with hands-on engineering, having led research and production efforts at institutions including Stanford, Western University, and UNED. Javier specializes in large language models for historical and literary texts, translating scholarship into scalable services and productionized ML features for library platforms. He is an active open-source contributor with front-end work on the Mirador image viewer and back-end improvements to PyFunctional that added parallel execution engines for large data pipelines. Comfortable straddling research, engineering, and product, he has a track record of turning complex digital humanities problems into usable tools for broad audiences. Based in Oslo, he pairs deep domain knowledge in cultural heritage with practical system-building experience.
16 years of coding experience
21 years of employment as a software developer
University of Seville
Doctor of Philosophy (Ph.D.) Humanities/Humanistic Studies, Doctor of Philosophy (Ph.D.) Humanities/Humanistic Studies at Western University
An open-source, web-based 'multi-up' viewer that supports zoom-pan-rotate functionality, ability to display/compare simple images, and images with annotations.
Role in this project:
Front-end Developer
Contributions:48 commits, 8 PRs, 21 pushes in 6 months
Contributions summary:Javier primarily contributed to the user interface and functionality of the Mirador viewer. Their work included fixing bugs related to annotation display, search functionality, and image manipulation, as well as implementing improvements like the ability to navigate to specific annotations within the canvas. The user's commits also involved adding new features, such as the search-within functionality, and refactoring components to improve the user experience. They also addressed issues related to the display and use of tags in the annotation editor.
Python library for creating data pipelines with chain functional programming
Role in this project:
Back-end Developer
Contributions:15 commits, 1 PR, 32 comments in 23 days
Contributions summary:Javier significantly contributed to the `pyfunctional` library by implementing parallel execution strategies for core functional programming transformations. Their work included adding features for parallelizing map, filter, and other transformations using Python's multiprocessing capabilities. They refactored the code to introduce execution engines and added the ability to specify the number of processes used for parallel execution. These changes enhance the library's performance when dealing with large datasets.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Javier De La Rosa - Head Of Language Models at Nasjonalbiblioteket | The National Library of Norway