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AI Architect @ Santander - AWS & GCP Professional Certified
After my time as a researcher at Universidad de Alcalá I have specialized in computer vision, however, I consider myself a fairly adaptable engineer in various fields of engineering, but with preference for the software world, both in PC and in embedded systems. I've always been keen on technology, especially in how to adapt it to meet my needs. Evidence of this are my various experiments with Arduino, with which I built a reverse geocaching box; Android, where I configured an underclock / overclock system to increase battery performance and I developed an app for remembering and sharing sites using pictures; and Raspberry Pi. With the latter, I'm shaping my project vAlfred 2.0, a virtual butler automation system capable of, among other things, communicate remotely via Telegram's API. The intention is to ease human-machine interaction by incorporating a basic natural language processing using tf-idf and some clustering algorithm. One of the first utilities I'm incorporating is the behavior as a security system; for this, I am developing a software module capable of recognize and classify faces automatically and send to my mobile phone pictures of those faces which are non-present in a pre-defined access list, allowing me to make decisions in real time on any unexpected event happens in my house. Later, the idea is that vAfred will be able to interact with the lighting and temperature of my house, besides my personal agenda and my computer. My strengths are the development and creation of algorithms and my speed of learning diverse technologies. I am interested in develop myself in the following areas: computer vision, software for embedded systems, internet of things, machine learning and data science.
Udacity
Machine Learning Engineer Nanodegree
January 1, 2020 – January 1, 2020
Data Science Retreat
Data Science bootcamp in Berlin (3 months)
January 1, 2016 – January 1, 2016
Udacity
Self-Driving Car Engineer Nanodegree
January 1, 2016 – January 1, 2017
Universidad de Alcalá
Master of Engineering (M.Eng.), Telecommunications
January 1, 2013 – Present
Linköping University
Full year Erasmus scholarship
January 1, 2010 – January 1, 2011
Copenhagen University College of Engineering
Mobile Communication and m-commerce
January 1, 2010 – Present
Glyndwrv Unversity (Wales)
Applied Computing (ASP.NET) and Professional Issues
January 1, 2008 – Present
NEWI Technological Institute (Wales)
Cisco CCNA
January 1, 2005 – January 1, 2006
Santander
AI Architect
September 1, 2023 – Present
Madrid, Community of Madrid, Spain · Hybrid
Savana
Senior Data Engineer
September 1, 2020 – September 1, 2024
Madrid, Community of Madrid, Spain
Negocios y Estrategia Business School
Professor of Master in Big Data & Business Analytics
January 1, 2019 – December 1, 2020
Greater Madrid Metropolitan Area
KSchool
Professor of Master in Artificial Intelligence and Deep Learning
November 1, 2018 – Present
Greater Madrid Metropolitan Area
BBVA Next Technologies
Lead Data Scientist
March 1, 2018 – January 1, 2020
Greater Madrid Metropolitan Area
BEEVA
Data Scientist and Machine Learning Engineer
May 1, 2016 – March 1, 2018
Greater Madrid Metropolitan Area
Teldat
R&D Embedded Systems Engineer
January 1, 2015 – January 1, 2016
Parque Científico Tecnológico de Tres Cantos
Universidad de Alcalá
Research Staff
May 1, 2013 – January 1, 2015
Universidad de Alcalá
Computer Vision Engineer
May 1, 2013 – January 1, 2015
Universidad de Alcalá
Research Intern
July 1, 2012 – May 1, 2013
International Robotic Challenge: Eurobot 2010 Feed the World. UART Team
January 1, 2010 – Present
We qualified for the national rounds and move on to the international final held in Switzerland. http://asimov.depeca.uah.es/robotica/mod/resource/view.php?id=260#!
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Google Cloud Certified Professional Cloud Architect
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Amazon SageMaker: Simplifying Machine Learning Application Development
edX
June 24, 2026 – Present
Google Cloud Certified Professional Data Engineer
June 24, 2026 – Present
Applications of AI for Predictive Maintenance - NVIDIA DLI Certificate
NVIDIA Deep Learning Institute
June 24, 2026 – Present
One Month Project Management
One Month
June 24, 2026 – Present
Agilidad y Lean. Gestionando los proyectos y negocios del s. XXI
Miríadax
June 24, 2026 – Present
Introducción al Business Intelligence y al Big Data - Universitat Oberta de Catalunya
Miríadax
June 24, 2026 – Present
Autonomous Navigation for Flying Robots - Technical University Munich (Certified User)
edX
June 24, 2026 – Present
Cambridge English: Advanced (CAE)
University of Cambridge
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across research, industry (banking, healthcare), and academia, coupled with roles in innovation and teaching, suggests a strong cultural fit for dynamic, learning-oriented environments. Their involvement in international projects and various educational programs indicates adaptability and a broad perspective. The target role of Computer Vision aligns well with their deep expertise in this area, particularly from their early research and teaching roles.
Soft Skills & Operational Fit
The candidate's experience as a professor and leader indicates strong communication, mentoring, and collaboration skills. Their involvement in innovation teams and driving AI strategy suggests a proactive and adaptable work attitude. The project descriptions highlight problem-solving and a focus on real-world application.