Manuel Quiñones is a software engineer with 17 years of experience who blends a background in visual arts and filmmaking with deep engineering practice to build human-centered, ethical software. He has strong cross-domain skills spanning front-end UI/UX work (notably contributions to the Sugar GTK shell) and backend API development (including enhancements to the Kolibri offline learning platform). Manuel has a track record in education technology—porting and adapting the Sugar platform for diverse hardware and cultural contexts—and in cloud automation managing thousands of VMs with Puppet and Ansible. He favors compositional thinking, taking systems apart to recompose clearer, more usable products, and his visual design sensibility continually informs his code. Based in Argentina, he has moved between product-focused roles and open-source collaboration, shipping improvements that improved accessibility and content delivery in learning platforms. He also brings an uncommon mix of filmmaking, animation, and tooling experience, having developed software used to produce an animated short.
17 years of coding experience
19 years of employment as a software developer
Técnico Mecánico Electricista, Técnico Mecánico Electricista at Escuela Industrial Superior
Engineer's degree, Systems Engineering, Engineer's degree, Systems Engineering at Universidad Tecnológica Nacional
Filmmaking, Filmmaking at Instituto Santafecino de Cine y Artes Audiovisuales
Contributions summary:Manuel primarily focused on UI/UX improvements and bug fixes within the Sugar GTK shell. Their contributions include modifying the battery icon to enhance clarity, refactoring icon-related API calls to use `pixel_size`, and adjusting the UI elements of transfer palettes and other UI elements. They also refactored and updated several components of the UI using the `Gtk` framework.
Kolibri Learning Platform: the offline app for universal education
Role in this project:
Back-end Developer
Contributions:15 reviews, 5 commits, 3 PRs in 1 year 1 month
Contributions summary:Manuel primarily focused on enhancing the Kolibri Learning Platform's backend functionality and API. They implemented features such as content tagging, adding an option to fetch only topics, and including node thumbnails in the API responses. Furthermore, the user modified the API to change the default ordering of nodes, improving the content presentation. Their contributions show proficiency in extending the existing functionality of the platform.
learning-platformoerofflineoffline-firstkolibri
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Manuel Quiñones - Software Engineer at Endless Access