I am a bilingual electronics engineer, I have experience working with high and low level programming languages such as Assembler, Python, Java and C.
Capstone research project: Development of a hybrid model based on artificial intelligence for energy dispatch in a microgrid.
Analysis that involves quantifying how changes in the environment impact signals, either across the entire field or within individual modes.
Use of time warping techniques to extract individual modes from measured signals.
Responsible for guiding the robot when it is necessary to take control and reporting any update related to the robot at hand.
Ability to remain calm and professional under pressure, multitask, and prioritize tasks effectively.
This project was created to develop a hybrid model algorithm based on machine learning to predict production, demand and energy dispatch on a microgrid of renewable energies, using CAISO database and NREL database. The database we used is available on Mendeley Data.
This software computes real time graphs for equations related to solar cells using Tkinter and matplotlib.
Software designed as a calculator to analyze attenuation phenomena and Snell’s law in optical fiber.
Android application that monitors temperature, humidity and CO using the DHT22 Y MQ-9 sensor.
Software developed as a teaching tool for teachers in the field of signal and systems theory.
BJTpy was a project developed to design and simulate BJT amplifiers with one or more stages depending on the parameters required by the user.