Hi! My name is
Nick Hageman
About Me
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.
Languages: C++, Python, Java, JavaScript, HTML, CSS, MATLAB
Technologies: PyTorch, TensorFlow, React.js, Node.js, AWS, Docker, Git
Engineering Experience: SWE Intern @ Apple, Previously @ John Deere, Bio::Neos
Notable Experience: Holo Reality Lab Undergraduate Researcher, University of Iowa Teaching Assistant
Portfolio
SlopeStats
🏂 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)
SmartDart
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.
LeetGPT
Developed a Chrome extension tool that provides LeetCode users with solutions to coding problems. Leveraged OpenAI's ChatGPT Language Model API for generative solutions.
IoT Thermometer
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.
Real Estate Business Web Application
Developed a web application for home builder's business. Implemented an interactive satellite map, 3D CAD Floorplans, and a Content Management Service (CMS).
HoloKinect (Vision Pro)
Developed a visionOS UI for a 3D telepresence application. Future work (Fall 2024) will include encoding and transmitting 3D depth & color information by leveraging 2D image compression.
MQTT time-series data dashboard
Implemented practical application of the Message Queuing Telemetry Transport (MQTT) protocol, specifically using a Raspberry Pi to collect, store, and visualize time-series data.
Neural RGB-D Encoding
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.
CageVision
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.
Handheld Retro Game Controller
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.
Unsupervised RGB-D Scene Categorization
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.
Hawk Talk
Created a desktop native chat application to familiarize myself with React for my incoming internship @ John Deere. Utilized websockets for bidirectional and low-latency communication.
The Gauntlet
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.
ENGR:2730 Computers in Engineering
Added features to "Asteroids" using topics including: OOP, dynamic memory allocation, SFML library, composition, inheritance, and polymorphism.
Plant Hydration Monitor
Developed an IoT web application to monitor soil moisture levels in real time. Created RESTful APIs to receive and handle sensor data from a microcontroller.