Career

• +

  Qantev Lead Data Scientist

  01/01/2024 — Present
  • Lead a cross-functional team of 6 data scientists and engineers to develop Qantev’s AI-powered Claims Management platform, directly engaging with clients to translate business requirements into AI-powered features
  • Designed and implemented a medical expert AI agent using retrieval-augmented generation (RAG) and external tool integration, improving claim insight accuracy and reducing manual review time by 5%.
  • Fine-tuned domain-specific transformer models for medical claim understanding and fraud detection.
  • Deployed Qantev’s automated claims management solution for two major LATAM insurers, managing client implementations end-to-end and leading technical sales efforts with 100+ live demos and POCs
  • Tech stack: HuggingFace Transformers, Pytorch, PydanticAI, FastAPI, Django, Temporal, React, PostgreSQL, Microsoft Azure
• +

  Talgo Data Scientist

  01/10/2021 — 28/02/2023
  • Spearheaded €1M+ predictive maintenance initiative using machine learning to predict component failures in high-speed trains
  • Developed and deployed anomaly detection pipelines for critical systems, reducing unplanned downtime and maintenance costs.
  • Defined data engineering and visualization standards for internal stakeholders, improving reproducibility and communication across teams.
  • Established coding guidelines and best practices across the intelligent maintenance team
  • Tech stack: Tensorflow, HuggingFace Transformers, Pandas, Numpy, Scikit-Learn, PostgreSQL, Google Cloud Platform
• +

  StyleSage Data Science Intern

  01/06/2020 — 31/08/2020

  Built Deep Learning-based CV and NLP models to classify fashion products for 10+ e-commerce retailers.

  • Delivered a smart tagging API that improved product categorization.
  • Built models using TensorFlow, Scikit-Learn, OpenCV, and InceptionV2.
  • Handled 400M+ item datasets on AWS, using SQL and Django ORM for backend work.

Education

• +

  École Centrale de Lyon (ECL) B.Sc. in Mechanical Engineering (Double Degree with UPM)

  2017-09-01 — 2021-06-30

  Part of a double degree program with Universidad Politécnica de Madrid. Major in Data Science and minor in Mechanics.
  Key coursework: Machine Learning, Neural Networks, Genetic Algorithms, Multimedia Informatics, Mechanical Engineering, Vibrational and Structural Design.

• +

  Universidad Politécnica de Madrid (UPM-ETSII) B.Sc. and M.Sc. in Industrial Engineering (Mechanics)

  2015-09-01 — 2021-06-30

  Specialized in mechanical systems and advanced engineering methods.
  Outstanding projects:

  • Co-writer of the research paper “Time Consideration in Machine Learning Models for Train Comfort Prediction Using LSTM Networks” (under review).
  • Master Thesis: ResNet CycleGAN-Based Image Encryption Technique for Intelligence Applications.