Jeffrey Pallarés Núñez is a DS and ML Engineer with a decade of experience building end-to-end AI solutions, from data extraction and big data pipelines to deploying scalable models in production. Currently at Navantia after roles in academia and industry, he blends hands-on machine learning, data engineering and MLOps to turn research-grade models into maintainable microservice deployments. His background includes top-mark academic work—an undergraduate thesis on multimodal medical image deep-learning that earned a perfect score and recommendation for honors—and collaborative computer vision research with the SIC group. Fluent in Python, SQL and common AI frameworks, he has practical experience across backend, frontend and AI solution development from early product roles at Opinno to recent industry projects. Based in Andalusia, Jeffrey focuses on pragmatic, long-lasting solutions that improve decision-making and operational efficiency. He brings a rare combination of research rigor and production-first engineering to AI initiatives.
10 years of coding experience
2 years of employment as a software developer
Máster en Investigación en Ingeniería de Sistemas y de la Computación, Computational Science, Especialidad en Transformación Digital: Internet de las Cosas y Big Data, Máster en Investigación en Ingeniería de Sistemas y de la Computación, Computational Science, Especialidad en Transformación Digital: Internet de las Cosas y Big Data at Universidad de Cádiz
React Native app using SkyScanner Api, implemented with, Redux/Saga, AsyncStorage, Hooks, Native base, Axios, Google Auth and Expo
Contributions:236 commits, 23 PRs, 37 pushes in 2 years 8 months
redux-sagareact-hookssagaskyscanner-apiaxios
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.
Request Free Trial
Jeffrey Pallarés Núñez - DS And ML Engineer at Navantia, S.A., S.M.E