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Senior Applied Scientist at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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Universidad de Zaragoza
PhD in Deep learning and Computer Vision (Artificial Vision)
January 1, 2018 – January 1, 2021
University of Lincoln
BMVA Computer Vision Summer School
January 1, 2017 – January 1, 2017
Universidad de Zaragoza
Master's degree, Computer Science
January 1, 2016 – January 1, 2018
Universidad de Zaragoza
Bachelor's degree in Computer Science, Computer Engineering
January 1, 2012 – January 1, 2016
Amazon
Senior Applied Scientist
December 1, 2023 – Present
Amazon
Applied Scientist for ML/CV
August 1, 2021 – November 1, 2023
Amazon
Applied Scientist Intern
June 1, 2020 – September 1, 2020
Barcelona, Catalonia, Spain
Lyft
Software Engineer Intern, Level 5, Self-Driving Division.
June 1, 2019 – October 1, 2019
Greater Munich Metropolitan Area
ETH Zürich
Visiting Research Fellow
March 1, 2019 – May 1, 2019
Zurich, Switzerland
Instituto de Investigación en Ingeniería de Aragón
PhD. Student at University of Zaragoza (DGA Scholarship 2018)
September 1, 2018 – July 1, 2021
Instituto de Investigación en Ingeniería de Aragón
Research Assistant (N3), RoPeRT group. Deep learning and Computer Vision (Artificial Vision)
July 1, 2018 – November 1, 2018
Instituto de Investigación en Ingeniería de Aragón
Research Assistant (N4), RoPeRT group. Deep learning and Computer Vision (Artificial Vision)
September 1, 2016 – June 1, 2018
HENNEO
Application Software Developer (Intern)
March 1, 2015 – July 1, 2015
Paseo independencia
CARTV
Application Software Developer (Intern)
October 1, 2014 – February 1, 2015
calle Maria Zambrano 2
BMVA Summer School 2017
University of Lincoln
June 24, 2026 – Present
intro to data science
Udacity
June 24, 2026 – Present
intro to Hadoop & MapReduce
Udacity
June 24, 2026 – Present
edX Honor Code Certificate for Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV
edX
June 24, 2026 – Present
edX Honor Code Certificate for Android: Introducción a la programación
edX
June 24, 2026 – Present
Curso de Introducción al Desarrollo Web
June 24, 2026 – Present
Curso de Programación de Apps Móviles
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background, with a PhD and experience at Amazon and Lyft, suggests a strong fit for a high-performance, research-oriented, and innovative culture. The focus on Deep Learning and Computer Vision aligns well with cutting-edge ML engineering roles. The diversity of research institutions (Universidad de Zaragoza, ETH Zürich) and industry experience indicates adaptability and a broad perspective. The absence of detailed project descriptions limits a deeper assessment of specific team collaboration styles or initiative beyond what is implied by their roles.
Soft Skills & Operational Fit
The candidate's extensive academic and professional experience, particularly in research and applied science roles, suggests strong analytical thinking, problem-solving, and a data-driven approach. The lack of specific project descriptions or behavioral assessment data makes it difficult to fully assess collaboration, communication, or stress handling. However, a PhD and roles at Amazon imply a high degree of self-motivation and ability to work in demanding environments.