Javier Ródenas
Portrait of Javier Ródenas

Javier Ródenas

AI Applied Scientist & PhD Candidate in Artificial Intelligence

University of Barcelona

About

I am a PhD candidate in Artificial Intelligence at the University of Barcelona, where my research centres on few-shot learning and computer vision — teaching models to recognise what they have barely seen before, and understanding why they get it right or wrong.

I also teach. At EADA Business School I teach Python to students of finance and fintech, and since 2025 at EAE Business School. Earlier, as an adjunct professor at the University of Barcelona, I lectured on artificial intelligence, computer vision and distributed software in the Computer Science and Mathematics degree.

In parallel I am the founder of Baboon Technologies, where the research becomes production: real-time vision systems for sport analytics, live broadcasting, industrial sensor monitoring and financial tooling. I started out as an electronic engineer — first at UPC, then at SEAT — and moved into applied AI in 2018. That path still shapes how I work: I care about methods that survive contact with a live system.

Research interests
Few-shot learning · Computer vision · Model explainability · Fine-grained recognition · Real-time inference

Teaching

Professor

EAE Business School

2025 — present

Python for Finance & Fintech

EADA Business School

2023 — present Master's Degree Programme

AI, Computer Vision & Distributed Software

University of Barcelona

2020 — 2022 Computer Science and Mathematics Degree

Machine Learning for Healthcare

University of Barcelona and Oxford University

International Programme Programme brochure

Python Programming: From Basics to Mastery

Nuclio Digital School

Online course

Applied Work

Baboon Technologies

Real-time asset valuation platform

  • Real-time asset valuation
  • Automatic best-asset selection
  • Investment decision tools
  • Investment ideas hub

Real-time player tracking and analytics

  • Player identification
  • Real-time speed tracking
  • Heat-map generation
  • Live broadcasting integration

Real-time text recognition for broadcasting

  • Instant brand detection
  • Live text recognition
  • Broadcast-ready integration
  • Low-latency processing

Real-time sensor calibration monitoring

  • Instant anomaly detection
  • Predictive maintenance
  • Real-time monitoring
  • Automated alerts

Research & development partnership

  • Academic collaboration
  • Research projects
  • Technology validation
  • Innovation development

Outreach

YouTube · 7.3K subscribers

An AI education channel where I explain how these systems actually work, with animations. In Spanish.

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Visit the channel

Experience & Education

  1. 2025 — present

    ProfessorTeaching

    EAE Business School

  2. 2023 — present

    PhD Candidate in Artificial IntelligenceEducation

    University of Barcelona

  3. 2023 — present

    ProfessorTeaching

    EADA Business School

  4. 2021

    Master's in Artificial IntelligenceEducation

    UNIR — International University of La Rioja

  5. 2020 — 2022

    Artificial Intelligence ResearcherResearch

    University of Barcelona

  6. 2020 — 2022

    Adjunct Professor, Artificial IntelligenceTeaching

    University of Barcelona

  7. 2018 — 2020

    Artificial Intelligence EngineerIndustry

    Pasiona Consulting

  8. 2017 — 2018

    Electronic EngineerIndustry

    SEAT S.A.

  9. 2017

    BSc in Electronics and Automation EngineeringEducation

    UPC — Polytechnic University of Catalonia