I built Travlr Getaways, a full-stack travel website with separate customer and administrator features using Angular, Node.js, Express, and MongoDB. I added REST APIs for travel information and implemented authentication and protected administrative endpoints.
For my Computer Science Capstone, I improved an animal shelter dashboard using Python, Dash, and MongoDB. I added rescue-search profile management and improved database search performance, including a method to rank animals against rescue requirements.
I also developed a Python-based agent that learned to navigate a maze using deep Q-learning. Using TensorFlow, Keras, and NumPy, I trained and tested it to achieve a 100% success rate across valid starting positions in the tested maze.
At Walmart, I currently fulfill online customer orders using digital order-management and inventory systems. Previously, I worked as a Production Associate at Walmart and a Produce Associate at Meijer, assisting customers and supporting department operations.
