Software Engineer
Developing the next generation of tools for energy decision making.
Hello, I’m Raúl Moreno Izquierdo.
Computer engineer. I build intelligent systems and turn complex problems into useful software.
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Engineer. Researcher. Educator.
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In Code We Trust.
AI forecasts, verified outcomes and investment simulations in one integrated application.
From data to decisions.
Systems that solve problems.
Learn. Build. Share.
Forecasts, evidence and paper trading.
Research workflows. Reproducible intelligence.
From an idea to working software.
Location intelligence, built for the field.
Connecting skills with opportunities.
I’m interested in what happens when engineering, research and real-world needs meet.
I’m Raúl Moreno Izquierdo, Phd, computer engineer. My work connects artificial intelligence, software development and analytics, with one conviction: technology should be understandable and useful.
I combine building solutions with energy research at IMDEA Energía and teaching experience at Centro Universitario de la Guardia Civil.
AI and predictive modelling for energy research.
Founder. Open-source software and applied artificial intelligence.
Teaching experience in Python, GIS, technology and AI.
Decision Scientist · Applied AI · Enterprise Decision Systems
More than twenty years of international experience combining decision engineering, statistics, artificial intelligence and software development to turn complex data into operational decisions.
Developing the next generation of tools for energy decision making.
Teaching computer science and AI through hands-on programming, software engineering and quantitative reasoning.
Built decision-support platforms, RAG pipelines, explainable AI and GIS visualization; managed GCP and Linux deployments.
Postgraduate teaching in Generative AI and NLP for digital journalism, with statistical reasoning and ethical LLM applications.
Postgraduate teaching in AI, GIS and decision support; architecture of an operational GIS platform for public-sector planning.
Applied research in AI, statistical learning and predictive classification, with reproducible analytical pipelines.
Led enterprise architecture, integrated ten XML providers into a reservation platform, and developed CRM analytics and BI reporting.
SQL data mining, customer intelligence, fraud analysis and KPI reporting.
Analytical architectures for budgeting and planning, plus predictive data mining for major banks.
Java EE enterprise applications, rule-based decision engines and mobile tourism platforms.
Python · SQL · R · Java · PHP
PostgreSQL · PostGIS · pgvector · MongoDB · MySQL · Oracle
Machine Learning · Deep Learning · NLP · LLMs · RAG · XAI
GCP · Vertex AI · Docker · Linux · QGIS
Decision Engineering · MCDA · Operational Research
Artificial intelligence, optimisation and decision-support systems: explore my scientific publications.
📚 Explore papers ↓Decision Intelligence · Applied AI & Technology Transfer · Intelligent Systems
2024 is the year listed in this Scholar record; the doctoral defence took place in 2026.
View on Scholar ↗Entries and figures from the profile shared by Raúl. Citation counts are a dated snapshot, not a live counter. Related records are retained as listed on Scholar.
A project, a collaboration or a good question. Let’s start there.
MADRID, SPAIN · EN / ES