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Research Software Engineer
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Research Software Engineer expert in Computer Vision, Artificial Intelligence, Machine Learning, and Genetic/Evolutive systems. Expert in low level languages like C/C++ and ASM, and numerical languages like Matlab and Octave. With experience in Robotics, Sensor Fusion and Microcontrollers.
Universidad Autónoma de Madrid
MS, Computer Science and Telecommunication Engineering, Computational Intelligence
January 1, 2010 – January 1, 2013
Universidad Autónoma de Madrid
BS, Computer Science and Engineering
January 1, 2005 – January 1, 2008
Universidad Pontificia de Salamanca
AS, Computer Engineering
January 1, 2000 – January 1, 2004
Electronic Arts (EA)
Software Engineer
October 1, 2018 – Present
Greater Madrid Metropolitan Area
VAXTOR SYSTEMS
Principal Research Software Engineer - Computer Vision and Artificial Intelligence
March 1, 2015 – September 1, 2018
Greater Madrid Metropolitan Area
VAXTOR SYSTEMS
Principal Research Software Engineer - Computer Vision and Artificial Intelligence
October 1, 2014 – February 1, 2015
Greater Madrid Metropolitan Area
VAXTOR SYSTEMS
Independent Consultant/Specialist in Computer Vision and Artificial Intelligence
May 1, 2014 – September 1, 2014
Greater Madrid Metropolitan Area
VAXTOR SYSTEMS
Principal Research Software Engineer - Computer Vision and Artificial Intelligence
April 1, 2011 – May 1, 2014
Greater Madrid Metropolitan Area
VAXTOR SYSTEMS
Research Software Engineer - Computer Vision and Artificial Intelligence
October 1, 2010 – April 1, 2011
Greater Madrid Metropolitan Area
Vaelsys
Computer/Software Engineer
June 1, 2007 – August 1, 2010
SOLOFISA S.A (Bankinter)
Software Developer
March 1, 2005 – September 1, 2005
ENTEL S.A (Telefónica)
UNIX Systems Technician
March 1, 2004 – November 1, 2004
Object Detection
Coursera
June 24, 2026 – Present
Computational Neuroscience
Coursera
June 24, 2026 – Present
Image And Video Processing: From Mars to Holliwood with a stop at the hospital
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
Digital image processing for video-security systems
Universidad Autónoma de Madrid
June 24, 2026 – Present
Discrete Inference and Learning in Artificial Vision
Coursera
June 24, 2026 – Present
Introduction to Artificial Intelligence (Advanced Track)
Udacity
June 24, 2026 – Present
Artificial Intelligence for Robotics
Udacity
June 24, 2026 – Present
Heterogeneous Parallel Programming
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on R&D in AI/ML and Computer Vision, with significant experience in a research-oriented company (VAXTOR SYSTEMS) and a large gaming company (EA). While the technical depth is high, the direct alignment with a 'Data Analyst' role, which often involves business intelligence, reporting, and specific data visualization tools, is not explicitly demonstrated. The candidate's background is more geared towards data science, machine learning engineering, or research. This might indicate a potential mismatch if the Data Analyst role is primarily focused on traditional BI and reporting rather than advanced analytical modeling or ML integration. The diversity of projects is within the AI/ML domain, but less so across different business functions typically associated with a Data Analyst.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development, project management, and consulting roles suggests strong problem-solving, analytical thinking, and potentially good communication skills. The long tenure at Vaxtor Systems indicates stability and dedication. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.