AI & data science consultant · Madrid
I turn environmental and operational data into reliable pipelines, machine-learning products and full-stack tools people can actually use.
Python · FastAPI · React · Docker · AWS · Geospatial data
Selected work
These are the projects that best show how I combine data science, software engineering and deployment. Every other project is still available in the complete archive.
iHeatApp · Professional research
Forecast pipelines, geospatial WBGT maps and a specialized AI assistant help make heat-risk information more accessible in California’s Imperial Valley.
Full-stack data product · 2025
Weather with Cloudya
A containerized platform that turns NOAA RTMA files into an interactive weather map with an AI vision assistant, backed by a rolling SSD cache and Python APIs.
Machine learning · WUSS 2024
Flight delay prediction
A reproducible classification workflow joining aviation and weather data, comparing seven model families and exposing results through a Streamlit application.
Geospatial analysis · 2023
California traffic trends
An observational study combining Caltrans and Census data to explore how traffic patterns vary with demographic and economic change across California.
Experience
My path from robotics and IoT to climate informatics and applied AI shapes how I work: understand the physical problem, build the data foundation, then ship the interface.
Open full résuméPremier Analytics Consulting
Building data pipelines, FastAPI backends, containerized AI systems and multilingual assistants across cloud and on-premises environments.
iHeatApp · SDSU Climate Informatics Lab
Developed hourly heat-risk forecasts, geospatial visualization pipelines and an AI-assisted bilingual product for Imperial Valley communities.
Center for Information Convergence and Strategy
Built reproducible R workflows for cleaning and analyzing spatiotemporal nutrient data from Irish agricultural catchments.
Smart Campus · University of Málaga
Designed an ESP8266, MQTT and Node-RED environmental monitoring system for real-time temperature, humidity and light sensing.
Speaking & writing
Conference talks and technical papers are where I test whether complex work can be made useful to a wider audience.
About
I grew up in Granada and trained in Electronics, Robotics and Mechatronics at the University of Málaga. An exchange year in Ohio and an M.Sc. in Big Data Analytics at San Diego State University shifted my focus toward the intersection of software, data and real-world decision making.
Today I enjoy owning the full path: finding the right data, making it trustworthy, building the model or service, and delivering an interface that helps someone act.
Contact
I am always interested in applied AI, environmental data, full-stack analytics and the conversations that connect them.