LuisDavid01 | Aspiring SRE

Web application for IBM dev day hackathon focused on collecting public information focused on transparency and public project inquiries, status and tax money spend through an AI agent for the general public.

AI powered chat assistant for web pentensting compatible with models that follow OpenAI spec allowing you to automate tasks, try different approaches, and gather reports on one single platform.

Full-stack web application that helps clinic staff manage appointments and track patients' progress. Built with Next.js, TypeScript, and Go using a microservices architecture. Currently uses a MySQL database, Docker for containerization, and CI/CD pipelines with GitHub Actions.

Full-stack web application for storing files of any type. Fully built with Next.js and TypeScript, using a MySQL database and Clerk for authentication and authorization.

CLI tool to store important variables locally and per project, making them easy to reuse in the future. Built with Rust.

Machine learning model trained on real financial open data to predict the probability of loan approval. The data was cleaned, relevant features selected, and hyperparameters optimized using GridSearch. Built with Python, scikit-learn, and pandas.

Simple HTTP server built from scratch in C, similar to Node.js' HTTP server. Implements the HTTP/1.1 specification, serves static files, and is very fast.