Career Profile

Experienced data scientist specialized in ML model integration for enterprise software. Expert in NLP, CV transformers, Azure DevOps, and CI/CD pipelines. Proven leadership in guiding teams and excelling in project delivery. Passionate about enhancing model interpretability and aligning AI solutions with business objectives. Effective communicator, bridging technical and non-technical stakeholders to drive innovation and achieve tangible business results.

Projects

Tailored Mindfulness App

An AI-driven meditation app for personalized mindfulness sessions.

Experiences

Freelance Data Scientist

09/2023 - Present

LLMs, model evaluation and deployment, vector databases, Azure Devops.

Senior Data Scientist

01/2024 - Present
Kantar Media

LLMs, model evaluation and deployment, vector databases, Azure Devops.

Senior Data Scientist

02/2022 - 09/2023
Quant AI Lab

As an external consultant for Repsol Data department, led the Document Analysis team, developing a human-in-the-loop solution that combined entity detection and graph neural network models for structured information extraction. Developed a library that integrated NLP and Computer Vision models.

Senior Data Scientist

03/2021 - 09/2021
Huawei

News recommender improvement with Named Entity Recognition features. Transformer (Bert, XLM Roberta, and other LLMs) architectures fine tuning, evaluation, and deployment.

PhD Student

04/2017 - 12/2020
Computer Vision Center & omni:us, Barcelona

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

Data Scientist

05/2016 - 10/2016
Ulabox, Barcelona

ML algorithms for customer behavior prediction.

Data Science Intern

01/2015 - 06/2015
Hockerty, Sant Cugat del Valles

Data science internship, recommender systems.

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