Tania Castillo is a Computer Scientist with eight years of experience applying Python and Java to software development, data analysis, and automated testing across payments and service-management domains. Currently an Ignition Associate at ScotiaTech, she has rotated through automation and data analyst roles, building test frameworks for payments and improving CMDB data quality and dashboards for ServiceNow transformation. An active open-source contributor and Google Summer of Code participant, she has enhanced scientific visualization tools—adding shader-backed peak visualization to the FURY rendering library and improving DTI/HARDI visualizations with VTK and GLSL. Known for clear communication, analytical problem solving, and collaborative instincts, she seeks to combine innovative technologies with practical solutions that positively impact society. Based in Bogotá, she brings a research-minded approach to engineering challenges and a track record of shipping tested, community-reviewed features.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Universidad Nacional de Colombia
Contributions:52 reviews, 23 commits, 17 PRs in 4 months
Contributions summary:Tania implemented and refined features related to peak visualization within the `fury-gl/fury` repository, a Python-based rendering library. Their contributions primarily focused on the `PeakActor` class, adding parameters for symmetric peak drawing, and creating tests. These changes included modifications to existing actor and test files, enhancing the library's functionality and test coverage for 3D graphics visualization, specifically related to shaders and scientific visualization.
Contributions:5 PRs, 138 pushes, 18 branches in 2 years 11 months
pythonpyodidefurypython-scriptrendering
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.