experience
Artificial Intelligence Engineering Student
ESCOM IPN
2025-12-31
Relevant courses include Theory of Computation, Machine Learning, Bio-inspired Computing, Artificial Vision, Design and Analysis of Algorithms, and Advanced Mathematics for Engineering.
Communities
IBM zAmbassador Captain
The IBM zSystems mainframe technology powers the world's biggest businesses. It is EVERYWHERE around you. IBM zSystems powers ATM cards, credit cards, airline reservations, hotel reservations, retail shopping & so much more!
MLSA
Microsoft Learn Student Ambassador aimed at students who are passionate about technology and want to share their knowledge with others. It offers opportunities to learn, grow, and connect with like-minded individuals in the technology industry.
ESCOM ACM Student Chapter
Participated in the ACM ICPC 2021-2023 programming contests as a member of my university's algorithms club.
featured projects
GDP and CO2 emissions
The "GDP and CO2 Emissions" project aims to establish a correlation between a country's Gross Domestic Product (GDP) and its CO2 emissions. By utilizing real-world data obtained from the World Bank's API, this project provides valuable insights into the economic and environmental balance of each country. The main objective of this project is to analyze the relationship between GDP and CO2 emissions, highlighting the impact of economic activities on carbon emissions. By studying the data, we can gain a better understanding of how economic growth and environmental sustainability intersect.
Bioinformatics Solutions
This repository contains the use of bioinformatics algorithms such as DE, PSO, GE, ACO to solve NP-Complete and NP-hard problems, improving their temporal and spatial complexity by 85% using metaheuristics.
bitacora-diarIA
Developed an intelligent journal assistant by encoding a personalized Word2Vec using the CBOW algorithm and a Spanish corpus for word embedding. Implemented an RNN for generating responses and assisting the author in journaling throughout the day, incorporating sentiment analysis through a logistic regression model and speech recognition.