Javier Marcos

Data Engineer

Salamanca, Castile and León, Spain
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Summary

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Rockstar
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Javier Marcos is a data engineer based in Salamanca, Spain, with seven years of experience building data-driven solutions and optimizing backend systems. Currently at Frogtek and teaching as an instructor at Universidad Pontificia de Salamanca, he blends production data engineering with hands-on pedagogy. His background spans roles as a data scientist and big data project manager, and he contributes to open-source numeric libraries—improving performance and stability in the OpenNN neural networks codebase. Trained with a Master’s in Intelligent Systems and a Computer Science degree from Universidad de Salamanca, he brings both academic rigor and practical experience in Java, C++ and cloud-enabled data processing. Less obvious: he has a track record of improving algorithmic efficiency inside scientific libraries, reflecting a focus on performance tuning as well as system integration.
code7 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Intelligent Systems, Master's degree, Intelligent Systems at Universidad de Salamanca
languagesEnglish
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Github Skills (8)

c-language10
cprogramming-language10
performance-optimization10
algorithms9
machine-learning8
feature-selection8
multiple-selection8
variable-selection8

Programming languages (1)

C++

Github contributions (3)

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Artelnics/opennn

Dec 2018 - Feb 2022

OpenNN - Open Neural Networks Library
Role in this project:
userBack-end Developer
Contributions:525 commits, 3 PRs, 229 pushes in 3 years 1 month
Contributions summary:Javier's contributions focused on bug fixes and performance optimization within the OpenNN library. Their work involved modifying C++ code, specifically in the `ant_colony_optimization.cpp` file, where they addressed issues and improved the efficiency of the model order selection algorithm. They also updated various other files within the library, suggesting a focus on improving the software's stability and performance. This shows focus on improving library functionality.
deep-learningpytorchneural-networkneural-networks
Contributions:4 pushes in 1 day
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