Experienced in the fields of Software Engineering, Applied AI/ML, and Human-Computer Interaction. I grew up in a small Iowa farm town (home to the Field of Dreams) and currently live in Iowa City. Outside of programming, I enjoy lifting weights, cooking, and watching UFC events. I'm always eager to learn new skills and technologies, so feel free to reach out regarding any software engineering related opportunities.
Secured $5,000 in funding for SmartDart: A computer-vision driven steel-tip dart system that combines accurate, automated scoring with dynamic solo gameplay and real-time feedback.
🏂 SlopeStats is a watchOS + iOS app which has multiple modes of tracking activity for skiing & snowboarding. It offers run tracking (speed, heart rate, altitude), Speed Mode (Ghost racing), Resort & Weather Info (API)
Developed a Chrome extension tool that provides LeetCode users with solutions to coding problems. Leveraged OpenAI's ChatGPT Language Model API for generative solutions.
Developed a web application for home builder's business. Implemented an interactive satellite map, 3D CAD Floorplans, and a Content Management Service (CMS).
Developed visionOS UI for a realistic 3D video communication application on the Apple Vision Pro. (Mentored by Prof Tyler Bell and PhD candidate Stephen Siemonsma)
Fine-tuned a sentiment analysis model on YouTube comments. Created a chrome extension which did inference and visualized results by modifying the YouTube page's HTML.
Created an IoT thermometer that communicates with a web server to provide the user with temperature values no later than 300 seconds ago. Withstanded water and drop tests. Conformed to strict design requirements.
Transmitting 3D data can be expensive, especially on hardware limited devices. Our approach to this problem was to create an end-to-end neural network sandwiched around an image codec for our encoding scheme.
Created a spatial application which utilized an MMA API to gather upcoming event information to be displayed in a visionOS window. Conceptualized viewing MMA matches in augmented reality by introducing a 3D model of an octagon placed on a flat surface.
Designed and constructed a handheld gaming device leveraging the capabilities of the ESP8266 module and a Raspberry Pi. The choice of game for our device was Pac-Man, a classic arcade game known for its straightforward yet challenging gameplay.
Clustered scenes from a short film using RGB-D data. Included the depth information for clustering as we thought it may enhance the scene representation in regards to spatial relationships.
Our team developed a multiplayer game with Generative AI components in the form of a SaaS application using the Rails web framework.
We utilized computer vision to monitor and record driver distractedness. We used a Raspberry Pi and Teachable Machine for our machine learning model. We also constructed a React dashboard application for data visualization.
Created a multi-stage game comprised of various challenges for our Virtual & Augmented Reality final project. Some of the challenges explored the mechanics of zero gravity, propulsion, enemy collision detection, animations, and AI navigation.
Added features to Asteroids using topics including: OOP, dynamic memory allocation, SFML library, composition, inheritance, and polymorphism. Assisted 300+ students in learning advanced C++ concepts.
Used multiple Generative AI Tools to automate the content generation process for platforms such as YouTube & TikTok.
Created a multiplayer game using purely Java. Inolved multithreading, networking, and database management. Was chosen as a top team to present to the class.
Created a desktop native chat application to familiarize myself with React for my internship @ John Deere. Utilized websockets for bidirectional and low-latency communication.