Manuel León Lara

Manuel León Lara

Internship

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location of Manuel León LaraSeville, Andalusia, Spain

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  • Timeline

  • About me

    Industrial Engineer

  • Education

    • Universidad de Sevilla

      2013 - 2020
      Bachelor's degree industrial technologies engineering
    • VIU - Universidad Internacional de Valencia

      2023 - 2024
      Máster Universitario en Big Data y Ciencia del Dato
    • Escuela de Organización Industrial

      2020 - 2020
      Course Digital Competences and soft skills Business and Social Skills

      - Team Work and Team Building.- Initiative and Innovation.- Business Innovation Plan.- Digital Transformation.- Effective Presentations.- Project Management.

  • Experience

    • Airbus

      Feb 2020 - May 2020
      Internship

      Airbus Xplorer Internship: Conducted a strategic study of various Industry 4.0 technologies, their applications, and their impact on Supply Chain departments. Additionally, completed a Business Skills course from the School of Industrial Organization.

    • Universidad de Sevilla

      May 2020 - May 2021
      Intern

      • Awarded a competitive research scholarship by the Department of Industrial Organization at the University of Seville, enabling the development of a real-time data visualization tool for an industrial sector company.• Developed a real-time data visualization tool aimed at accelerating decision-making processes related to preventive and corrective maintenance, significantly improving the company's operational efficiency.

    • Servinform

      Sept 2021 - Dec 2024
      IT Consultant – Data & AI

      • Supported the integration of advanced technology solutions, focusing on intelligent document processing systems and process optimization, which significantly enhanced operational efficiency and delivered high-impact results for multiple clients by optimizing their operations.• Spearheaded innovation projects that developed and successfully implemented pioneering data extraction techniques based on Large Language Models (LLMs). These techniques reduced development time by over 1300% compared to traditional solutions, showcasing a strong impact on project timelines and client satisfaction.• Supported the development of Retrieval Augmented Generation (RAG) systems using Large Language Models (LLMs) and embedding-based search, enabling organizations to leverage their proprietary data and establish knowledge systems for enhanced decision-making. These solutions significantly improved information retrieval accuracy and operational agility.• Engaged in customer service enhancement projects by leveraging state-of-the-art Speech-to-Text (STT) technologies and intelligent content exploitation methods.• Developed cutting-edge solutions using computer vision algorithms based on Python and deep learning models to optimize key aspects of intelligent document processing workflows, significantly contributing to process automation and accuracy. Show less

    • Accenture

      Nov 2024 - now
      Senior IT Consultant - Data & AI
  • Licenses & Certifications

    • APTIS C1

      British Council