Computer science student interested in machine learning, game development, and data analysis. Past projects include a League of Legends game outcome classifier using scikit-learn, a Chrome extension for calculating similarity scores on Letterboxd, and a React movie tracker web app with personalized recommendations. Responsibilities for this project include designing and coding the DQN agent for the daisy collection game, debugging and optimizing the reinforcement learning model, integrating RL agents into the Godot game engine, and creating documentation to support the student competition.

Computer science and accounting student interested in machine learning, software, and taxes. Prior projects include a Myers-Briggs personality type predictor using machine learning algorithms, A stock price predictor, and a spreadsheet application. Responsibilities for this project included learning reinforcement machine learning, modifying the openAI lunar lander environment to have an egg drop theme, and training an agent on the egg drop/lunar lander game.