CV

Here you can find my info, as well as my resumé in pdf format.

Basics

Name Mario Golbano Corzo
Label Telecommunications Engineer
Email mariogolbano@gmail.com
Phone +34 692 387 282
Summary Telecommunications Engineer pursuing a double Master’s in Telecommunications Engineering and Machine Learning with a strong foundation in programming, eager to apply skills in ML, AI, and emerging technologies.

Work

  • 2024 Sep - Present
    Academic Support Scholar
    Carlos III University of Madrid
    Research on 'Foundation Models for Wireless Communications,' focusing on pre-training models for signal reconstruction and separation.
  • 2023 Mar - Oct
    Telecom Developer Intern
    Future Connections Spain SL
    • Development of applications and automatization tools
    • Network Monitoring and Data Analytics
    • Development of Machine Learning tools and algorithms
    • OpenRAN development

Education

  • 2024 Sep - Present

    Madrid, Spain

    Master’s
    Carlos III University of Madrid
    Machine Learning for Health
  • 2023 Sep - Present

    Madrid, Spain

    Master’s
    Carlos III University of Madrid
    Telecommunications Engineering
  • 2021 Sep - 2022 Jun

    Brno, Czech Republic

    Year abroad - Erasmus Program
    Brno University of Technology
    Telecommunications Engineering
  • 2019 Sep - 2023 Jul

    Granada, Spain

    Bachelor's
    Granada University
    Telecommunications Engineering

Programming skills

Python
Advanced
MATLAB
Advanced
Java
Competent
C
Competent
SQL
Competent
Git
Competent
Linux
Basics
HTML
Basics
JavaScript
Basics

Languages

Spanish
Native speaker
English
Advanced (C1 Cambridge)
French
Basic knowledge

Research projects

  • 2024 Sep - 2025 Sep
    Foundation Models for Wireless Communications
    In this research line, we propose the design of foundation models for wireless communications, with an innovative focus on the pre-training of models for tasks such as reconstruction and source separation. Our goal is to develop advanced models that are not only capable of reconstructing and separating mixed signals but also possess a discrete and interpretable latent space that enables the performance of other critical tasks in communications.
    • Wireless signals generation
    • Foundation models
    • Signal reconstruction