I’m drawn to the craft of building — whether that means writing software, structuring data, or refining an idea until it works cleanly.
At William & Mary, I’m studying Computer Science and Economics. My current work centers on backend development, data automation, and clean, maintainable code. I spend most of my time in Python and Java, and I enjoy the mix of logic, design, and problem-solving that good engineering demands.
This past summer I co-authored a policy report at the Maine Policy Institute, leading the data analysis and visualization in Python. I also built a transcription and summarization pipeline that automates long-form audio processing using Whisper and LLMs. I’m now expanding that foundation through larger, more structured projects and hackathons.
Outside of code, I write occasionally on Substack about attention, craft, and the moral dimension of technology. I also play ultimate frisbee and enjoy unhurried conversation. My focus — in work and life — is on building skill, depth, and good judgment over time.
I like building things that work consistently and are easy to understand.
I learn best by building, reading, and tracing ideas across disciplines.
Whether in code or writing, I aim for precision and simplicity.
What I work with day to day and the areas I’m deepening next.
Some of the tools, pipelines, and experiments I’ve built — each an exercise in learning by doing.
If you’d like to talk about software, writing, or projects worth building, I’d love to hear from you.
I’m always glad to meet thoughtful builders and researchers. Whether you want to collaborate, exchange ideas, or just say hello, feel free to reach out.