Analytical | Persistent | Curious
I'm Aidan, a Computer Science student at Lewis & Clark College in Portland, Oregon. I'm passionate about building tools that connect people and enhance creativity. Lately, I've been experimenting with new ways to implement artificial intelligence. I have built multiple MCP servers to automate administrative tasks and increase productivity. I'm excited to explore LLMs in ways that go beyond the chatbot applications that have become synonymous with AI in pop culture.
I take pride in my attention to detail, whether that means seamless and creative front-end design or resilient backend code that's easy to build upon. I love shipping projects end-to-end for the creative freedom it gives me, but I also thrive in team environments where I can learn from others and tackle bigger challenges together.
I'm pursuing a career in technology with a focus on helping companies navigate and adapt to the rapidly evolving landscape of artificial intelligence. Check out my Projects section to see some of what I've been working on.
Outside of work, I love learning languages. I'm currently fluent in French and English. When I'm not coding or studying French, I'm almost certainly outside enjoying the beautiful Pacific Northwest. I love to travel, as it gives me the opportunity to connect with new people and bring back fresh perspectives and experiences to my creative process.
A software that facilitates AI generation of Drone choreography to allow for customized dances based on any given song.
Technologies Used
For this project I used Typescript code and the Three.JS library for visual representations as well as HTML for the web design. I used an OpenAI API for the AI component. The drone hardware is the EDU CoDrone which is run using Python.
A decentralized social mesh network that uses bluetooth to connect people. An alternative social media app that resists algorithmic trends and state surveillance.
Technologies Used
This App was coded in Swift and uses Bluetooth technology.
An AI benchmark that puts AIs head to head in a real time strategy game. AIs must reason over long periods of time with limited information on the board state.
Technologies Used
Uses OpenAI API aswell as Anthropic API for the two competing models. The simulation itself is coded in python and uses Pygame.