Jairo Alejandro Lefebre Lobaina

Jairo Alejandro Lefebre Lobaina

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  • Timeline

  • About me

    PhD Student at IIIA-CSIC

  • Education

    • Universidad Central "Marta Abreu" de Las Villas

      2017 - 2022
      Master's degree Artificial Intelligence
    • Universidad de las Ciencias Informáticas

      2007 - 2012
      Grado en Ingeniería Computer Science
  • Experience

    • XETID

      Sept 2012 - Feb 2020

      Duties: - Develop py-fcm a Fuzzy Cognitive Map inference library, using Python- Develop a Fuzzy Cognitive Maps topology generation from data, using Python- Apply the logical combinatorial pattern recognition approach to feature selection problems toreduce datasets dimensionality- Implement several (YYC, GCreduct, RegularSearch) algorithms to find all typical Testors(minimal traversals / reducts)- Develop a road deterioration and line estimation from GPS traces with clustering, using Scikit-learn and a modified SOM Neural Network- Develop a REST API to train and use text classification algorithms, using spaCy and Flask- Develop a REST API for text polarity and topic detection, using spaCy and Flask- Develop Xintesis a Flask REST API generator Mostrar menos Duties: - Develop a text classification module using an user defined text corpus and process text data with NLTK and Scikit-learn libraries- Build an optimization model applied to medical crew scheduling using the metaheuristic genetic algorithm - Design a common parser for process knowledge structured like rules - Develop a parser interface for CLISP a rule based inference library - Develop a parser interface for FuzzyLite, a fuzzy rule based inference system- Develop a REST API for module using Qt framework and C++- Model several rule-based knowledge bases- Develop a crisp rule extraction system from data (IDE3, C4.5) Mostrar menos

      • Lead Data Scientist

        Mar 2016 - Feb 2020
      • Machine Learning Engineer

        Sept 2012 - Mar 2016
    • Cuban Engineer

      Mar 2020 - now
      Data Scientist

      Duties: - Select a state-of-the-art continuity algorithm for the ECG image to signal transformation- Define the processing pipeline for the different ECG formats to process- Implement the defined pipeline using OpenCV and TensorFlow libraries- Develop an engineer's skills evaluator using GitHub, GitLab and Stack Exchange data- Propose an algorithm that allows infer new skills from data provided by the APIs - Document proposed strategies using Jupyter Notbooks- Create well documented APIs using Flask - Propose graph oriented models using ArangoDB Mostrar menos

    • IIIA-CSIC

      Jan 2023 - now
      Estudiante investigador de doctorado
  • Licenses & Certifications