Selected Work
A collection of projects spanning machine learning, mobile development, and software tooling, each one a step forward in honing my craft.
A full-stack contractor management platform designed to help track clients, projects, billable hours, and business analytics. Built with FastAPI, SQLAlchemy, PostgreSQL, React, and TypeScript with JWT authentication, protected routes, and a responsive user interface. The application includes client and project management, time tracking, dashboard reporting, and invoice generation capabilities.
This is a full-stack Flask web application that enables students to buy and sell textbooks through a centralized campus marketplace. The project includes secure authentication with password hashing and Flask-Login, REST-style API endpoints, and a relational database managed through four SQLAlchemy models.
A command line tool that transforms Markdown files into fully rendered HTML pages. Parses headings, paragraphs, inline formatting, and links, producing clean, deployable static sites from plain text source files. A practical demonstration of text parsing, file I/O, and templating logic.
A mobile application built for a small business brewery, providing streamlined operations management with custom UI components, multi-screen navigation, and structured data handling. Demonstrates end to end mobile development from interface design through state management and real world use case delivery.
A Recurrent Neural Network trained to forecast future company order quantities based on historical sales data. Applies deep learning techniques to a tangible business problem giving stakeholders a data-driven view of demand trends. Built in my DSIS-420 class with TensorFlow and structured around a real company dataset.
A classic arcade-style Asteroids game built in Python as part of the Boot.dev curriculum. Covers game loop architecture, collision detection, vector-based movement, and rendering. Reinforces core programming fundamentals through a hands on, interactive project.
A lightweight text analysis tool that ingests a given text file and produces a detailed report of word count and character frequency. Simple in scope but clean in execution. An early project that reflects disciplined fundamentals and an eye for readable, well-structured code.