Engineering & Research Labs
Bridging the gap between theoretical models and production systems. Explore my experimental labs, open-source contributions, and engineering work.
A personal homelab environment where I deploy, test, and maintain self-hosted services with privacy-focused networking through VPN and Cloudflare Tunnels.
My digital headquarters. A high-performance portfolio built on the Edge using the full Nuxt ecosystem, deployed to Cloudflare Workers via Wrangler.
A curated collection of mathematics and data science projects developed during my academic journey, spanning Bachelor's and Master's studies.
An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations.
Summary of my internship as a Data Engineer at Sevetys, focusing on data quality, cleaning, standardization, and comprehensive data quality metrics.
Prediction of breast cancer presence by comparing several supervised classification models using machine learning techniques.
Predicting the number of bikes rented in a bike-sharing system using Generalized Linear Models and various statistical techniques.
Predicting loan approval and default risk using machine learning classification techniques.
TensorFlow/Keras implementation and reproduction of "Dropout Reduces Underfitting" (Liu et al., 2023). A comparative study of Early and Late Dropout strategies to optimize model convergence.
An implementation of different Monte Carlo methods and algorithms in R, including inverse CDF simulation, accept-reject methods, and stratification techniques.
A customizable browser homepage that lets you organize all your favorite links in one place with categories, tabs, icons and colors.
A Python implementation of the Schelling Segregation Model using statistics and data visualization to analyze spatial segregation patterns.