Samuel Nasta is a Data Engineer based in Madrid with a decade of engineering experience designing high-throughput, secure AI and data solutions for regulated environments. He combines hands-on software craftsmanship—from web programming and real-time systems to production data pipelines—with formal training in Data Science and Computer Engineering. His recent roles at BBVA and Unit8 reflect rapid progression into data-focused engineering within enterprise contexts, and he brings practical research experience from sensor fusion and cyber-physical systems. Comfortable across languages and web technologies, he has seven years of active development practice and a track record of refactoring and delivering robust systems. Samuel pairs academic rigor with product-oriented execution, often bridging research prototypes into production-ready services. He is motivated by building auditable, scalable data platforms that meet strict security and compliance demands.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Universidad de Cantabria
Ingeniería Informática, Ingeniería Informática at Universidad de La Rioja
Contributions:2 PRs, 98 pushes, 12 branches in 9 months
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