Resume

Professional Experience

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[January 2024 - Present] AI Researcher - HYBLICON Project

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MP Ascensores (in collaboration with Org. of Industrial and Business Management II, University of Seville)

• Development of cloud-based AI algorithms to optimize elevator operation through learning building usage patterns.
• Implementation of machine learning techniques for dynamic elevator behavior adjustment, enhancing user experience and reducing energy consumption.
• Technologies:
  Python

  NumPy

  Pandas

  scikit-learn

  PyTorch

  Lightning

  Matplotlib

  Seaborn

  Optuna

  Gradio
• Models: Recurrent Neural Networks (RNN, LSTM, GRU), XGBoost.

[September 2023 - January 2024] AI Researcher - INARI Project

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GRI Renewable Industries and Redes (in collaboration with Org. of Industrial and Business Management II, University of Seville)

• Research and development of AI models and neural networks for cost prediction of manufacturing complex wind components.
• Implementation of intelligent product digital models, experimental project flow control environments, and advanced cost simulation.
• Machine learning models applied to lead time and consumable cost prediction in Seville and Brazil factories.
• Technologies:
  Python

  NumPy

  Pandas

  scikit-learn

  pytorch_tabular

  Matplotlib

  Seaborn

  PyCaret

  Gradio
• Models: Machine Learning models (XGBoost, Random Forest, etc.) and Deep Learning for tabular data (TabNet, NODE).
• Publication: Results led to the research article Lead-Time Prediction in Wind Tower Manufacturing.

[March 2023 - September 2023] AI Researcher - OFFSHOREWIND Project

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GRI Renewable Industries (in collaboration with Org. of Industrial and Business Management II, University of Seville)

• Research and development of machine learning algorithms for optimal task sequencing, improving efficiency in wind tower production in the Seville factory.
• Technologies:
  Python

  NumPy

  Pandas

  Matplotlib

  Seaborn

  scikit-learn

  Gradio
• Models: Traditional Machine Learning models (decision trees, ensemble learning, MLP, among others).
• Award: Recipient of the AEIPRO - IPMA Spain Project Excellence Award in the Change Management/Product Development category.

Education

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1. PhD Industrial Organisation Engineering

   april 2024 - present

   University of Seville
2. MSc in Artificial Intelligence

   2022 - 2023

   University of Seville

   Final Grade (scale 0-10): 9.23

   Specialized in machine learning, NLP, and deep learning. My Master's Thesis on "Machine Learning Applications in the Metallurgical Industry" received the distinction of "Matrícula de Honor" (10/10).

   Key coursework included

   • Deep Learning
   • Natural Language Processing
   • Machine Learning
   • Bio-inspired Computation
   • Computational Methods in Artificial Life
   • AI for Data Science
3. BSc in Computer Science

   2018 – 2022

   University of Seville

   Final Grade (scale 0-10): 7.39

   Developed a strong foundation in core computer science principles with a growing specialization in AI and data-related technologies during my final years.

   Key coursework included

   • Business Intelligence
   • Enterprise Information Systems
   • Human-Computer Interaction
   • Declarative Programming
   • Digital Image Processing
   • Computer Architecture
   • Artificial Intelligence

Relevant Certifications

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• Fundamentals of Accelerated Data Science (NVIDIA)
• Fundamentals of Deep Learning (NVIDIA)
• Microsoft Certified: Azure Fundamentals (Microsoft)
• Fundamentals of Accelerated Computing with CUDA Python (NVIDIA)

Skills

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• Programming Languages:
  Python

  SQL

  Julia

  Haskell
• Frameworks:
  PyTorch

  OpenCV

  scikit-learn

  Pandas

  NumPy

  Matplotlib

  Seaborn

  Gradio
• Technologies:
  Machine Learning

  NLP

  Computer Vision

  Docker

  Git

  Linux
• Soft Skills:
  Leadership

  Teamwork

  Open to new challenges
• Languages:
  Spanish (Native)

  English (B2)

  French (B1)

  German (B1)