Projects

Tailored Mindfulness App

An AI-driven meditation app for personalized mindfulness sessions.

DocIntelligence

An AI-powered structured information extraction from pdfs.

Experiences

Entrepreneur

2025 - Present

Senior Data Scientist

2021 - 2025
Huawei, Quant AI Lab, Kantar Media

LLMs, model evaluation and deployment, vector databases, Azure Devops, Full-Stack development.

PhD Student

2017 - 2020
Computer Vision Center, omni:us

Research on information extraction from semi-structured documents with neural networks.

Data Scientist

2015 - 2016
Hockerty, Ulabox

Data science internship, recommender systems, churn prediction.

Publications

  • Named Entity Recogntion and Relation Extraction with Graph Neural Networks in Semi-Structured Documents
  • Manuel Carbonell, Pau Riba, Mauricio Villegas, Alicia Fornés, Josep Lladós
    International Conference on Pattern Recognition, 2020 (oral)
  • A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
  • Manuel Carbonell, Alicia Fornés, Mauricio Villegas, Josep Lladós.
    Pattern Recognition Letters, 2020
  • End-to-End Handwritten Text Detection and Transcription in Full Pages
  • Manuel Carbonell, Joan Mas Romeu, Mauricio Villegas, Alicia Fornés, Josep Lladós.
    International Conference on Document Analysis and Recognition Workshops, 2019
  • Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-End Model
  • Manuel Carbonell, Mauricio Villegas, Alicia Fornés, Josep Lladós.
    International Conference on Document Analysis Systems, 2018

    Skills & Proficiency

    Python (pytorch, transformers, tensorflow, pandas, numpy)

    Shell

    Azure DevOps, GCP

    C

    SQL

    Java