Alejandro Muñoz Navarro

Education

• Master of Science in Artificial Intelligence September 2020 - July 2022

  Technical University of Madrid

  CGPA: 8.13
• Bachelor of Science in Computer Engineering September 2015 - June 2020

  Technical University of Madrid

  CGPA: 7.00

Professional Experience

• Real Academia Española (RAE) April 2024 - Present

  Artificial Intelligence Developer

  • Participated in the LEIA project by the RAE, contributing to the development of language resources and tools for the Spanish language.
• Ontology Engineering Group (UPM) April 2023 - April 2024

  Artificial Intelligence Researcher - Easy Reading

  • Leveraged cutting-edge technologies like Python, Docker, Flask, NLTK, spaCy, while showcasing a keen acumen in full-stack programming, encompassing both backend and frontend.
  • Actively engaged in the design and successful execution of innovative Natural Language Processing (NLP) algorithms, fostering automatic text adaptation in alignment with the Easy Reading Methodology standards.
  • Participation in the design and implementation of natural language processing (NLP) algorithms to automatically adapt texts following the Easy Reading Methodology guidelines.
  • Worked on notable projects including FACILE, ATECA and AccessJobs, each focused on enhancing accessibility and user experience through advanced Natural Language Processing techniques.
• Indra March 2022 - April 2023

  Junior Engineer in Air Traffic Management

  • Contributed to the design and successful implementation of data processing and integration solutions, elevating the performance of air traffic management systems.
  • Harnessed an extensive array of technologies including Java 11 with Spring Boot, Apache Kafka, MongoDB, Docker, Maven, Bitbucket, Python, Bash, Jira, and Microsoft products, underscoring a breadth of technical expertise.
• Informática El Corte Inglés S.A. September 2018 - June 2019

  Internship in SAP & POS Services

  • Mastered ABAP quickly to streamline incident resolution processes.
  • Enhanced technical portfolio by gaining exposure to Spring Boot, showcasing adaptability and continuous learning.

Projects

• Easy Reading of Automatically Generated Texts (Master's Thesis) July 2022
  • Implemented a natural language processing (NLP) system using Python 3, Django, and spaCy/NLTK to automatically adapt texts for people with cognitive disabilities, following the Easy Reading Methodology guidelines.
  • Developed methods and software to replace numbers written in letters with digits, simplify large numbers, replace percentages and fractions with more easily understood words, and eliminate complexity in sentences by removing parentheses.
  • Built a web application using Django that follows the Easy Reading Methodology’s requirements to improve accessibility.
• Style Transfer Between Photographs (Bachelor's Thesis) January 2020
  • Developed an algorithm using MATLAB to transfer the style of one photograph to another with a focus on landscape photographs, later expanding to include sepia, color, and black and white.
  • Extended the application to include the transfer of styles between portraits, including not only style transfer but also background transfer from one image to another.

Technical Skills

• Proficient in: Python, MATLAB, Java, SQL, Azure, R, Docker, Git, Bash, Django, spaCy, NLTK, Scrum.
• Familiar with: Flask, Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, OpenCV, Spring Boot, MongoDB, Apache Kafka, Maven, Jira, Bitbucket, ABAP.
• Fluent in Spanish and English