I'm a sophomore computer science student at the University of Texas at Austin.
To quote data scientist and UT alumnus Kurt Bollacker, "data that is loved tends to survive." That is why I'm currently focusing on creating programs that are easy to use, accessible, and efficient to spread the "love" of data. This would include anything from web apps with data visualization models to simple machine learning programs.
On campus, I'm a member of the UT Austin chapter of the Association of Computing Machinery (ACM) and the Hispanic Association of Computer Scientists (HACS).
Outside of computer science, I enjoy playing my saxophone and piano in my free time. I'm also a part of the UT Hispanic Caribbean ensemble, a group that plays traditional Caribbean music to give appreciation to the cultural and historical significance of the region. A few friends and I are also planning to start a small mariachi band called El Mariachi Longhorn.
Jag Learning is an online education platform prioritizing STEM subjects to expose students to college-level material.
Based on a very old Java project of mine, I plan to re-implement a machine learning model in Python that focuses on generating compositions based upon modern music theory.
FotoMotion is a GIF editor made using the Java Swing AWT. A link to the project can be found here.
This React project uses data polling data from the current 2020 general election, as well as down ballot elections, to provide an accurate visualization of the state of the current primary. In the future, I plan to expand this to international politics.
This Java project implements several compression algorithms, including LZ77, Huffman, and Arithmetic compression, and compares timing and file size.
This project developed Othello, a traditional Japanese board game, on both a desktop application and an android application.