In this project, I developed and trained a Wasserstein Generative Adversarial Network with Gradient Penalty using Python and PyTorch. I trained models on point clouds sampled from 3D models of airplanes and chairs. The trained models utilize neural networks to recognize the shape of a given class of 3D point clouds and generate original point clouds of that given class of objects.

A 2D Metroidvania game, created with Unity as a personal project. Sprites created with Gimp. The implemented save system writes binary values to text files to record the player's location and collected items.

A 3D action game created with Unity (coded in C#) as a group project for a game programming course. The goal is to save tortoises by loading them onto a helicopter before the fire destroys all of the trees. The environment is procedurally generated. The spread of the fire is simulated by instantiating particle systems in adjacent areas after a timer runs out.

A turn-based battle game published for iOS and Android devices by Massachusetts Digital Games Institute. During my internship during the summer of 2021, I worked as part of a team consisting of programmers, 2D artists, a sound designer, and a marketer. My role was gameplay programming using Unity and C#. I also worked on implementing the game's save system and analytics events.