Luis Martín is a software engineer with 13 years of experience building backend systems and full-stack tools across aerospace, astronomy, and cloud-native security domains. Currently at Red Hat, he brings a strong systems background from roles at Quasar Science Resources where he developed Java-based astronomy archives, optimized C++ simulation modules for X-ray instruments, and built Go- and Python-backed services deployed on Kubernetes. He has a track record of improving core data-processing functionality in prominent open-source projects—contributing bug fixes and test coverage to astropy/astroquery and refactoring backend data structures in the StackRox Kubernetes security platform. Comfortable across C++, Java, Go, and Python, he combines academic training in computer engineering and game development with hands-on infrastructure work (VMware, Docker, Helm) to deliver robust, deployable solutions. Notably, his contributions span both scientific data pipelines and security-focused cloud tooling, highlighting an ability to bridge research-grade processing with production-grade deployment.
13 years of coding experience
6 years of employment as a software developer
Master en Desarrollo de Videojuegos de la UCM, Computer Science, Master en Desarrollo de Videojuegos de la UCM, Computer Science at Universidad Complutense de Madrid
The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides recommendations to proactively improve security by hardening the environment.
Role in this project:
Back-end Developer
Contributions:1142 reviews, 87 commits, 465 PRs in 1 year
Contributions summary:Luis's contributions center around enhancing the backend infrastructure and data structures within the StackRox Kubernetes Security Platform. They focused on implementing strong typing for `MetaValues`, refactoring the data structure from a map to a struct. Further work involved modifying files related to cluster deployment, helm charts, and image embedding, suggesting familiarity with the system's configuration and deployment mechanisms, and with the specific topics listed in the repository. The user's work impacted the core components of the software related to Kubernetes security.
Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8
Role in this project:
Back-end Developer
Contributions:45 reviews, 44 commits, 6 PRs in 1 year 9 months
Contributions summary:Luis's primary contributions involved fixing bugs and improving the XMM-Newton module within the astroquery library. Their work included updating documentation, resolving indentation issues, and addressing a bug related to exposure handling, ensuring correct data retrieval. The changes touched upon the core functionality of the XMM-Newton module, demonstrating a focus on data processing and image extraction. These commits also involved improving the test suite for the XMM-Newton module.
pythondataastropy-affiliatedastropyastronomy
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