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Data Engineer || Machine Learning Engineer
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Assessing your cultural and operational fit
Passionate about Big Data and Machine Learning. Focused on development of applications and solutions in the social networking environment. Specialties: Development of Internet projects. social networks, facebook applications, online marketing, SaaS, cloud, Big Data, Machine Learning.
Universidad de Zaragoza
MSc Software Engineer
January 1, 1994 – January 1, 2000
Mews
Data Engineer
July 1, 2022 – Present
Toptal
Machine Learning Engineer
January 1, 2020 – June 1, 2022
Remote
Thinkful
Data Science Mentor
September 1, 2018 – December 1, 2019
Trisocial
Machine Learning Engineer
April 1, 2016 – December 1, 2019
Trisocial
DEVELOPER & CTO
January 1, 2011 – December 1, 2019
Arsys Internet
Head of Information Systems Department
July 1, 2009 – February 1, 2010
Arsys Internet
Head of Product Development Department
August 1, 2005 – June 1, 2009
Arsys Internet
Project Manager at Systems Development Department
July 1, 2002 – July 1, 2005
Arsys Internet
Developer at Systems Development Department
May 1, 2001 – June 1, 2002
CEINSA
Software Developer
November 1, 2000 – June 1, 2001
Spark - Level 1
IBM
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
Introduction to R
edX
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Data Analysis and Statistical Inference
DataCamp
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Data Science Specialization
The Johns Hopkins University
June 24, 2026 – Present
Introduction to Apache Spark
edX
June 24, 2026 – Present
Distributed Machine Learning with Apache Spark
edX
June 24, 2026 – Present
Building AI Agents and Agentic Workflows
Coursera Course Certificates
June 24, 2026 – Present
Big Data Analysis with Apache Spark
edX
June 24, 2026 – Present
Deep Learning in Python
DataCamp
June 24, 2026 – Present
Data Scientist with Python
DataCamp
June 24, 2026 – Present
Data Engineering on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
MongoDB for developers
MongoDB
June 24, 2026 – Present
Developing Applications with Google Cloud Platform Specialization
Coursera Course Certificates
June 24, 2026 – Present
Deep Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
TensorFlow in Practice Specialization
Coursera Course Certificates
June 24, 2026 – Present
Data Engineering Nanodegree
Udacity
June 24, 2026 – Present
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Data Streaming Nanodegree
Udacity
June 24, 2026 – Present
Large Language Models: Application through Production
edX
June 24, 2026 – Present
edX Verified Certificate for Large Language Models: Foundation Models from the Ground Up
edX
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Generative AI for Software Development Specialization
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies and roles, from software development to CTO and then specializing in ML/Data, indicates adaptability and a broad understanding of technical ecosystems. The freelance Machine Learning Engineer role at Toptal suggests an ability to work independently and manage multiple projects. The numerous certifications in cutting-edge AI/ML topics demonstrate a strong commitment to continuous learning and staying current with industry trends, which aligns well with a dynamic, innovation-driven culture. However, the lack of specific project details makes it difficult to assess collaboration styles or contributions to team culture.
Soft Skills & Operational Fit
The candidate's extensive experience in various roles, including leadership and mentoring, suggests strong communication and collaboration skills. The descriptions of building data platforms and MLOps infrastructure indicate a focus on operational excellence and robust system design. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.