Current Status

Seeking employment after graduation from Master’s Degree in Automation and Control Engineering. In which I acquired an strong understanding in reinforcement learning concepts during my Master’s thesis, being centered on optimizing the scheduling of electric vehicle charging stations to minimize costs and maximize grid stability.

Bachelor’s Degree in Industrial Electronics and Automatic Engineering Valencia Polytechnic University (Universidad Politécnica de Valencia - UPV) Graduated as part of the High Performance Group, an elite program delivering advanced, English-taught courses. The program emphasized rigorous academic training in industrial electronics and automation, preparing graduates with a comprehensive and internationally-oriented skill set.

Personal and Hobbies

I am a dual Spanish-Venezuelan citizen, born in Caracas, Venezuela, in December 1999, and relocated to Spain in 2011. During high school in Alicante, I discovered my passion for electronics, which I pursued further by creating projects in my home lab, including an electromagnetic gun, a smart toy car, and other innovative gadgets. Beyond my interest in electronics and coding, I enjoy staying active with running and Olympic weightlifting, and I also have a passion for music, especially playing drums.

Technical Skills

  • Intermediate knowledge of several programming languages: C, C++, Python and LaTeX.
  • Experience in developing embedded systems using microcontrollers from the AVR family and STM32.
  • Experience in numerical computing software and data manipulation using MatLab and Octave.
  • Experience in PCB amateur design and its corresponding software: KiCAD and Eagle.
  • Knowledge in machine learning concepts and neural networks.
  • Knowledge in Reinforced Learning concepts.
  • Daily user of GNU/Linux software.

Languages

  • Native Spanish.
  • English proficiency.
  • B1 Italian Intermediate.

Work Experience

  • Research internship at UPV with a focus on Type I Diabetes with the aim of applying clustering and other machine learning algorithms to predict blood glucose concentrations in patients with this disease. The predictions were integrated into a larger system developed by the research group to help prevent hyperglycemic and, especially, hypoglycemic episodes, contributing to improved patient care and safety.
  • Tutor for three years, preparing high school students for college entrance exams in physics, chemistry, and mathematics. This role was undertaken alongside my Bachelor’s degree studies, demonstrating strong time management, teaching and genuine enjoyment of supporting and helping others.