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PROFESSIONAL PROFILE Engineering Physicist with a strong background in physics, mathematics and numerical modelling. Experienced in technical research, Python based simulation and regulatory projects within Madrid City Council, with international experience and a versatile, analytical approach to complex engineering and consulting challenges.

HEADLINE: AI-Powered Lab Automation & Intelligent Data Systems | Python | ML Engineering --- OVERVIEW: I build intelligent automation systems that transform how scientific labs and technical teams work with data. What I do: 🤖 Intelligent Lab Automation Python-driven automation for scientific workflows. Equipment integration, data parsing, real-time monitoring. I reduce manual work and human error—labs save hours every week. 🧠 AI & Machine Learning for Scientific Data ML models that find patterns in complex datasets. Predictive analysis, anomaly detection, automated quality control. Your data becomes actionable intelligence. 💾 Data Intelligence Platforms Full-stack systems that connect lab instruments, databases, and dashboards. RAG-powered retrieval for scientific documents. AI-assisted analysis and reporting. 🔬 Why this works Physics degree + software engineering means I understand both the science and the systems. I don't just write code—I solve real lab problems. What you get: ✅ Systems that integrate with your existing instruments ✅ Automation that actually reduces costs (not just looks good) ✅ ML models trained on your real data ✅ Production-ready code, not prototypes ✅ Clear ROI: faster analysis, fewer errors, better insights Recent work: Python automation for lab data pipelines, ML models for scientific datasets, custom dashboards with intelligence built-in. Perfect for: Research labs, pharma companies, biotech startups, technical departments that need to scale their data operations. Let's talk if you need someone who speaks both science and code.

I am a Top Rated AI Engineer and Researcher with a PhD in Theoretical Physics. I help technical teams investigate difficult AI/ML problems and establish whether their AI systems actually work. My work combines mathematical modeling, experiments, evaluation design and practical prototypes with clear evidence about what improved, what failed and what to try next.

Astrophysicist/Cosmology PhD student specialized in Python-based modeling, Bayesian inference, and scientific visualization and communication. I build reproducible, well-documented pipelines and publication-quality visuals. Published first-author work in Q1 journals with publicly released open-source code developed in Python.