cv

In this page you will find my full resume

Basics

Name Pablo Miralles González
Label PhD Candidate
Email pablo.miralles [at] upm.es
Url https://pablomirallesg.com/

Work

  • 2023.09 - Present
    Artificial Intelligence Researcher
    Technical University of Madrid
    Deep Learning and Natural Language Processing (DL-NLP) and Applied Intelligence and Data Analysis (AIDA) research groups
    • NLP, Transformers
    • AI Generated Text Detection
    • Authorship Attribution
  • 2023.02 - 2023.08
    Junior Software Engineer
    Fever
    Managed and developed my own project, interacting directly with the stakeholders. Backend development with Python, integration with external APIs and services, and task automation using LLMs.
    • Backend development with Python
    • Integration with external APIs and services
    • Automation of tasks using LLMs
    • Experience with Agile, Git, CI/CD and Kubernetes
    • Experience with DDD and event-driven programming
  • 2021.07 - 2021.08
    Software Programmer Intern
    Grupo Orenes
    Backend development with C# and ASP.NET, and frontend development with ReactNative.
    • Backend development with C# and ASP.NET
    • Frontend development with ReactNative

Education

  • 2024.09 - Present

    Madrid, Spain

    PhD in Computer Science
    Technical University of Madrid
  • 2023.09 - 2024.07

    Madrid, Spain

    MSc in Machine Learning and Big Data
    Technical University of Madrid
    • Average of 9.65 / 10.0
  • 2017.09 - 2022.06

    Murcia, Spain

    BSc in Computer Science
    University of Murcia
    • Average of 9.57 / 10.0
    • Awarded with the Extraordinary End of Degree Award for the second best academic record
  • 2017.09 - 2022.06

    Murcia, Spain

    BSc in Mathematics
    University of Murcia
    • Average of 9.74 / 10.0
    • Awarded with the Extraordinary End of Degree Award for the best academic record
    • National collaboration grant

Awards

Certificates

Languages

Spanish
Native speaker
English
Fluent

Interests

Artificial Intelligence
Deep Learning
Generative Models
NLP
Computer Vision
Reinforcement Learning
Mathematics
Statistics
Convex and non-convex optimization
Geometry