Automated Auto Care

Griffin Shannon is a software development major with a passion for creating intuitive user interfaces and robust backend systems. His academic journey has included developing a C# spreadsheet application, a C++ logic gate simulator with sandbox functionality, and now this capstone full-stack Android application for Automated Auto Care.

On this project, Griffin took a lead role in frontend development, crafting responsive React components that make vehicle maintenance tracking simple and visually appealing. His technical versatility allows him to work across the full stack, though he particularly enjoys the creative challenges of frontend development.

Beyond this capstone, Griffin has explored both web development and low-level programming, appreciating the different problem-solving approaches each domain requires. When not coding, he enjoys studying software architecture patterns and experimenting with new programming languages.

Emma Shannon is completing a dual-focus education, earning her Bachelor's in Computer Science with a minor in Animation this spring. This unique combination allows her to bring both technical precision and creative design thinking to software projects.

Her professional experience includes an apprenticeship at O.C. Tanner where she worked with AWS, Terraform, GitHub Actions, and Kubernetes, giving her valuable cloud infrastructure expertise. She has developed projects spanning web development, mobile programming, and animation pipelines.

For Automated Auto Care, Emma contributed her full-stack development skills while also ensuring the user interface had polished visual elements. Her animation background proved valuable in creating smooth transitions and intuitive UX flows. Outside of tech, Emma enjoys film analysis, digital art creation, and outdoor activities that balance her screen time.

Austin Poch is a Computer Science student at the University of Utah with expertise spanning software development, cloud infrastructure, and systems engineering. His technical repertoire includes React, TypeScript, Node.js, C#, C++, C, and Python, along with extensive experience in AWS and Terraform implementations.

On the Automated Auto Care project, Austin designed and implemented the cloud infrastructure that powers the app's backend services. His solutions ensure scalability and reliability as the user base grows. Austin particularly enjoys projects that integrate software with physical systems, bringing his networking and hardware knowledge into play.

Known for tackling complex technical challenges, Austin continuously expands his skill set through hands-on projects. His systematic approach to problem-solving and passion for building robust systems made him invaluable to the team's infrastructure development efforts.

Braden Campbell is completing his Bachelor of Science in Computer Science at the University of Utah, set to graduate in May 2025. His professional experience includes an impactful internship with Alter Domus where he contributed to the Gateway Project and developed fuzzing tests to enhance software reliability.

For Automated Auto Care, Braden served as both a developer and project coordinator, helping organize team workflows while contributing full-stack code using TypeScript, Node.js, and React Native. His ability to understand both technical requirements and user needs helped shape the app's intuitive maintenance tracking features.

Braden particularly enjoys creating applications that solve real-world problems for end users. When not coding, he's an avid baseball fan who appreciates the strategy and statistics of the game. This analytical mindset carries over to his software work, where he focuses on creating measurable improvements through careful development.