AI Engineer in Training | Data Scientist
Bridging scientific research, software development and artificial intelligence.
A scientific application built with Python and Dash for exploring and comparing ecological niches through multidimensional hypervolumes. It integrates R workflows, interactive visualizations and exportable outputs.
An n8n workflow that retrieves food information from the Open Food Facts API and uses the Groq API to generate LLM-assisted nutritional feedback.
Machine Learning · Geospatial Data Science
A Master's thesis project applying Random Forest models to European toad species distributions, integrating biodiversity, climate and habitat data to explore historical patterns and 2050 climate scenarios.
A React and TypeScript frontend prototype for browsing recipes and planning weekly lunches and dinners, with browser-based persistence.
A responsive art portfolio website built with HTML and CSS, using Git and GitHub for version control.
SCIENCE / DATA / DEVELOPMENT
My background combines scientific research, data science and software development. As a PhD researcher at the Museo Nacional de Ciencias Naturales (MNCN-CSIC), I develop computational approaches to study biodiversity and ecological niches.
I've always been curious about how technology can help solve complex problems. That curiosity is guiding my path into AI engineering, building on my experience in Python, data analysis and scientific software to explore intelligent applications.
I believe science, technology and knowledge sharing can make complex ideas more accessible and useful.
Museo Nacional de Ciencias Naturales (MNCN-CSIC)
March 2024 – Present
Conducting doctoral research on ecological niches, biodiversity patterns and species coexistence across spatial scales. My work combines Python, R, geospatial analysis, statistical modelling and scientific software development.
Balantia Energy Solutions & Technologies
February 2022 – January 2024
I developed and validated machine-learning models for energy-consumption forecasting using Python, R and SQL. My work also included automated ETL workflows and API integrations.
4Geeks Academy
September 2026–Present In progress
Building on this experience, I am expanding my knowledge through the AI Engineering Program at 4Geeks Academy. My current training covers TypeScript, JavaScript, web development and agent-assisted specification-driven development.
4Geeks Academy
September 2026–Present · In Progress
Universidad Autónoma de Madrid
In Progress · Expected completion: 2027
IMF / UCAV / Indra
Universidad Autónoma de Madrid
Universidad Rey Juan Carlos
ENVIRONMENTAL NICHES / BIODIVERSITY
My research explores how environmental niches shape biodiversity patterns and species coexistence across spatial scales. I combine ecological modelling, geospatial analysis and scientific software development to investigate these relationships.
Museo Nacional de Ciencias Naturales (MNCN-CSIC)
Universidad Autónoma de Madrid · Doctoral programme
PhD Researcher · FPI Fellow
March 2024 – Present
Expected completion: 2027
I develop reproducible workflows for data cleaning, quality control, geospatial processing and statistical modelling. I also develop scientific software for exploring and comparing ecological niches.
Institute of Marine Research (IMR), Norway
March–May 2025
I worked on ecological modelling and the analysis of large-scale marine data using Python and R, collaborating with an international research team.
Frontiers of Biogeography, 18, e136933
Read articleLand, 11(11), 2052
Read articleDIGITAL.CSIC · Research dataset
Geographical distribution maps of European Odonata compiled from distribution atlases and online databases.
II Jornadas de Ecoinformática (AEET) · Seville, Spain · October 1–3, 2026 · Oral presentation
Scientific software development with Python for exploring and comparing ecological niches through multidimensional hypervolumes.
TIBS Aarhus 2026 · Denmark · January 6–10, 2026 · Oral presentation
View abstract book (PDF)APPLIED EXPERIENCE / CONTINUOUS LEARNING
A scientific and data-driven foundation, expanding towards AI engineering.
Tools used in professional work, research and personal projects. Each category describes its context.
Professional and research experience in Python, R and SQL, including data processing, analysis and interactive application development with Pandas, Streamlit and Dash.
Hands-on Experience
Experience applying machine learning and statistical modelling in professional and scientific research contexts, alongside hands-on development of AI-assisted workflows, API integrations and automation projects.
Hands-on
Actively developing frontend skills through hands-on projects using TypeScript, JavaScript, HTML, CSS, React and Tailwind CSS, as part of my AI Engineering training.
Hands-on · Currently Developing
Hands-on experience with Git, GitHub and specification-driven development (SDD), using AI coding agents such as GitHub Copilot, OpenAI Codex and Claude to plan, implement, review and validate software projects.
Hands-on
My current and upcoming training at 4Geeks Academy. Upcoming topics are planned study, not completed qualifications or hands-on experience. Some modules build on concepts I have already used in projects.
Upcoming in Training
Upcoming in Training
Upcoming in Training
Upcoming in Training
Upcoming in Training
Currently Learning
Upcoming in Training
Upcoming in Training
LET'S BUILD SOMETHING INTELLIGENT
I'm exploring opportunities in AI Engineering, while remaining open to Data Science and Machine Learning roles that build on my experience in Python, data-driven development and scientific research.
Open to professional opportunities, technical collaborations and interesting projects.
