Theory applied. Systems built.
Undergraduate thesis applying Topological Data Analysis to extract geometric features from natural language vector embeddings. Developed at Universidad Centroamericana José Simeón Cañas under the supervision of Dr. Yoceman Sifontes.
Probabilistic model to predict stroke likelihood using Bayesian probability. Categorizes variables such as age, glucose levels, and health conditions to identify risk factors. Developed from scratch in Python as part of the AI course at Pontificia Universidad Javeriana.
Researched and modeled 2D/3D parametric curves and Bézier splines using Python, implementing Lagrange interpolation and Hermite cubic polynomials to analyze computational trade-offs.