Martín Díaz is a FullStack Software Engineer with an MSc in Artificial Intelligence and nine years of experience building Java web applications and scalable web architectures. He combines strong backend skills with hands-on machine learning expertise, having developed computer vision models applied to precision agriculture to extract actionable insights from field data. At Seresco he worked on internal libraries and product-grade web apps, and has transitioned into roles blending data science and fullstack engineering. Based in Oviedo, Spain, Martín is focused on using AI pragmatically to solve domain problems rather than as an academic exercise. He’s driven by continuous learning and enjoys creatively applying new technologies to improve workflows and outcomes. An unusual strength is his ability to move models from research into maintainable production code, bridging the gap between data science and engineering.
9 years of coding experience
5 years of employment as a software developer
Bachelor's Degree in Software Engineering, Bachelor's Degree in Software Engineering at Universidad de Oviedo
Master's Degree Artificial Intelligence Inteligencia artificial, Master's Degree Artificial Intelligence Inteligencia artificial at Universidad Alfonso X El Sabio
Contributions:26 commits, 19 pushes, 3 branches in 23 days
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