Javier Aldana
Full Stack Developer at GFT Technologies
Greater Madrid Metropolitan Area Spain
Summary
👤
Senior🎓
Top SchoolJavier Aldana is a Full Stack Developer with nine years of experience based in the Greater Madrid area, specializing in backend development with extensive .NET expertise and practical front-end work using React and Angular. He has progressed from hands-on IT maintenance and device repair to building and maintaining .NET Framework 4.8 web applications, integrating external APIs, and managing SQL Server databases while using GitHub and Jira in professional workflows. Currently at GFT Technologies, he brings a pragmatic mindset shaped by early technical-support roles that honed his troubleshooting and systems-maintenance instincts. Comfortable across the full stack, Javier pairs solid backend architecture skills with a focus on documentation and reliable delivery in team settings.
9 years of coding experience
2 years of employment as a software developer
Técnico Superior en Desarrollo de Aplicaciones Multiplataforma, Técnico Superior en Desarrollo de Aplicaciones Multiplataforma at Ies Alonso de Avellaneda
Github Skills (16)
detector10
condition10
points10
surface9
bright9
approximation9
matching9
kd-tree9
geometric9
orb9
pattern-recognition8
similarity8
datasets7
hessian7
spread6
Programming languages (1)
Github contributions (3)
aldanjav/saddle_detector
Oct 2016 - Aug 2019
A novel similarity-covariant feature detector that extracts points whose neighborhoods, when treated as a 3D intensity surface, have a saddle-like intensity profile. The saddle condition is verified efficiently by intensity comparisons on two concentric rings that must have exactly two dark-to-bright and two bright-to-dark transitions satisfying certain geometric constraints. Saddle is a fast approximation of Hessian detector as ORB detector is for Harris detector. Experiments show that the Saddle features are general, evenly spread and appearing in high density in a range of images. The Saddle detector is among the fastest proposed. In comparison with detector with similar speed, the Saddle features show superior matching performance on number of challenging datasets.
Contributions:74 commits, 1 PR, 8 pushes in 2 years 10 months
challengingfastestkd-treesurfacepattern-recognition
aldanjav/Saddle_SLAM
Aug 2018 - Aug 2018
Contributions:15 commits, 9 pushes, 1 branch in 5 days
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