Inigo Ruiz
ML EngineerSenior Applied Scientist at Amazon
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
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
For a complete CV please, contact me
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
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
BMVA Summer School 2017
University of Lincoln
June 24, 2026 – Present
Curso de Programación de Apps Móviles
June 24, 2026 – Present
Curso de Introducción al Desarrollo Web
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.