Eduard Maldonado
Backend EngineerApplied Scientist @ 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
Applied Scientist @ 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
Universitat Autònoma de Barcelona
Master's degree, Computer Vision
January 1, 2013 – January 1, 2014
Universitat Politècnica de Catalunya
Engineer's degree, Telecommunications Engineering
January 1, 2006 – January 1, 2012
Amazon
Applied Scientist
September 1, 2022 – Present
Barcelona, Catalonia, Spain
Universitat Politècnica de Catalunya
PhD Candidate in Deep Learning
July 1, 2017 – September 1, 2022
Barcelona
Crisalix
Computer Vision Software Developer
May 1, 2014 – August 1, 2022
Greater Barcelona Metropolitan Area
Crisalix
Student Internship
September 1, 2013 – May 1, 2014
Greater Barcelona Metropolitan Area
RWTH Aachen University
Diplom Thesis
February 1, 2012 – October 1, 2012
Aachen, North Rhine-Westphalia, Germany
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and specialized Computer Vision/Deep Learning roles. While this demonstrates deep expertise in a niche, it suggests a potential mismatch with a general 'Backend Engineer' role which typically requires broader system design, API development, and database management skills. The project diversity is low, focusing almost exclusively on computer vision.
Soft Skills & Operational Fit
The candidate's resume highlights a strong research and development background, indicating analytical thinking, problem-solving, and independent work. However, specific soft skills like teamwork, leadership, or communication in a non-academic setting are not explicitly detailed. Operational fit for a Backend Engineer role is limited given the primary focus on Computer Vision and Deep Learning.