Long-form posts about technology, projects, and what I'm learning.
OpenAI patched a verbal tic out of their model. The patch ships in Codex via a developer prompt, not in Copilot, so in Copilot the goblins still appear. I ran the experiment I was curious about: does goblin mode actually change coding performance, or is it just vibes?
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What happens after your fourth agentic CLI tab, and the weird side project it led to.
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The heaviest users of my command-line tools turned out to be AI agents. Here's what I changed once I noticed.
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A nine-hour experiment on why reasoning models are so stubborn about correcting their own chain of thought, and a latency finding I didn't expect.
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My senior capstone was a flood-warning system for Vietnam. Most of the actual work was in everything around the code — stakeholders, data ownership, and ethics.
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As part of the Hacking For Defense class at UVA, my team provides reccomendations to realign the US Cyber Budget.
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A summer internship project. Most explainability methods try to reverse-engineer a model after the fact. I tried training one to just tell you why.
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A college information-retrieval project, a dataset of pro-ISIS accounts, and what happened when we tried to break our own ranking algorithm with Kanye West.
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Learn how to convert Jupyter Notebooks to a Web App using Streamlit.
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As techincal producer for UVA's premier undergraduate research podcast, The Global Inquirer, myself and my team host a special discussion about the significance of tax havens and the Panama Papers.
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This was a memo I wrote in my freshman year of college to share with friends who wanted to get started with Computer Science. I've posted here so anyone can use.
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