Software Engineer (Universidad de Oviedo) and MSc in Artificial Intelligence (Universidad Politécnica de Madrid), based in Langreo, Asturias.
My throughline has always been the same: taking artificial intelligence from research into the real world. During my internships and my Bachelor's/Master's thesis, I researched sleep quality in arthritis patients using wearable devices and machine learning / deep learning models, exploring transfer learning strategies to classify sleep stages — work that eventually led to a co-authored conference paper. Later, at ITCL Centro Tecnológico, I designed an audio source separation system based on Spiking Neural Networks, built with a modular architecture aimed at scalability and long-term maintainability.
Outside the lab I equally enjoy full-stack development: databases, backend, frontend and deployment, with the same attention to quality I bring to an ML model. And this year I lived a completely different adventure: I was a contestant on MasterChef Spain, season 14 — an experience that taught me as much about teamwork under pressure as any development sprint.
const omar = {
location: "Langreo, Asturias, Spain",
education: ["BSc Software Engineering – Universidad de Oviedo", "MSc Artificial Intelligence – UPM"],
languages: ["Spanish (native)", "English (B2 First Certificate)"],
interests: ["machine learning", "deep learning", "full-stack development", "applied research"],
philosophy: "from research to product, without losing rigor along the way"
};
| 2026 Jan – Apr |
MasterChef Spain, season 14 — Contestant Contestant on Spain's best-known cooking talent show. An unexpected experience in teamwork, handling pressure, and adapting to a brand-new industry: television. |
| 2025–2026 Dec – Jan |
ITCL Centro Tecnológico — Academic Researcher · Burgos Development of an audio source separation system based on Spiking Neural Networks (SNNs), built with a modular architecture aimed at scalability and maintainability through design patterns. Implementation of different signal encoders and experimentation with multiple model configurations. |
| 2024 Jan – Jul |
AI Biomedical Engineering — Intern · Asturias Research on sleep quality in arthritis patients using wearables and AI: building data pipelines in Python, applying machine learning / deep learning models, and exploring transfer learning strategies for sleep-stage classification. The project spanned the Bachelor's thesis, the Master's thesis, and a co-authored conference paper. |
| 2023 Jul – Aug |
hiberus — Intern · Asturias Internship in the Liferay department: enterprise application development, CRUD operations, and full-stack collaboration (backend and frontend) in a corporate environment. |
| Institution | Degree | Period |
|---|---|---|
| Universidad Politécnica de Madrid | MSc in Artificial Intelligence | 2024 – 2025 |
| Universidad de Oviedo | BSc in Software Engineering | 2020 – 2024 |
Sleep Quality, Artificial Intelligence, and Equine Therapy: Calibration of Low-Cost Actigraphs Paper derived from the research on sleep quality in equine-assisted therapy, carried out during the internship at AI Biomedical Engineering.
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RatioX.net is a recipes and cooking-content website that I design, build, and maintain solo — born out of my time on MasterChef Spain, season 14, with a presence on Instagram, YouTube, TikTok, Facebook, and X as @omarmchef14. It's more than a blog: it's a small product with its own modular JavaScript frontend (no frameworks), a search bar with filters by type, dish, course, difficulty, diet, and allergens, a graph view of related recipes ("Map"), and a "Kitchen" section. Deployed as a static site on Cloudflare Pages, with its own analytics and a custom-built cookie banner.
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Bachelor's Thesis · Equine Therapy & Sleep Quality Intelligent analysis of multivariate sleep data using transfer learning, applied to studying the influence of equine-assisted therapy on arthritis.
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Android weather app integrating Google Maps and the OpenWeatherMap API, built for a mobile devices course.
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Distributed System with Spring ⭐ 5 Distributed systems application built with Spring, Thymeleaf, and end-to-end testing with Selenium.
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Location-based mapping app built on GOMap, focused on geospatial exploration.
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Languages
Frontend & mobile
Backend & data
DevOps & testing
Design & multimedia
