Resume

Work Experience


  • Oct 2018 - Present | Cambrian Intelligence SL
    Jul 2019 - Present | Machine Learning Engineer (Full-time)

    • Development of a full Machine Learning pipeline for healthcare and geospatial data, from exploring the data to productionizing models.
    • Full-stack design and implementation of a Machine Learning System for healthcare using technologies like TensorFlow, Flask, p5.js, Celery and Docker.
    • Experience with the following cloud providers:
      • Google Cloud.
      • Amazon Web Services (AWS).
      • DigitalOcean.

    Oct 2018 - Jul 2019 | Junior Machine Learning Developer (Full-time)

    • Data preparation, data visualization and ML modeling using healthcare data.
    • API development using Flask.
  • Jun 2018 - Oct 2018 | Sopra Steria
    QA Tester (intern)

Education


  • 2020 - 2021 | Master’s Degree in Logic, Computation and Artificial Intelligence
    Universidad de Sevilla

  • 2014 - 2018 | Bachelor’s Degree in Computer Science - Information Technologies
    Universidad de Sevilla

Licenses & Certifications


  • 2023 | AWS Certified Developer – Associate (link)(link)
    Amazon Web Services Training and Certification
  • 2019 | B2 First Certificate in English (link)
    Cambridge Assessment English

Scientific Publications


  • 2021 | Evolutionary game theory in a cell: A membrane computing approach (link)
    Pedro García-Victoria, Matteo Cavaliere, Miguel A. Gutiérrez-Naranjo, Miguel Cárdenas-Montes
  • 2021 | PBIL for optimizing Inception Module in Convolutional Neural Networks (link)
    Pedro García-Victoria, Miguel A. Gutiérrez-Naranjo, Miguel Cárdenas-Montes, Roberto A. Vasco-Carofilis
  • 2020 | Late Breaking Abstract - Recurrent Neural Networks and environmental data for COPD exacerbation prediction (link)
    Cristobal Esteban, Francisco Javier Moraza, Pedro García, Amaia Aramburu, Fernando Sancho, Leyre Chasco, José Antonio Gutiérrez, Francisco José Conde, Sergio Resino, Cristóbal Esteban

Courses


  • 2020 | Neural Networks and Deep Learning (link)
    Coursera