Brain–computer interface platform translating EEG signals to device actions. Reinforcement-learning pipeline deployed with Docker; $15,000+ in grant and competition funding.
Some of my work
Jun '26
AI powered tool to extract follow ups from tasks across multiple work platforms (Slack, Jira, Github etc)
A node package to inspect GitHub repositories before cloning. Just run `npx reposizer <repo-url>` to get a report of the repository.
Why I do what I do
The future I see doesn't have a screen. Information renders directly; actions happen without reaching for a device. The boundary between thought and action collapses. It is the most inevitable direction of computing, and it's what I think about every day.
The common thread isn't the domain, it's the question: what's standing between a person and their intent, and can it be eliminated? At Neurosync Labs, that's the device itself, translating brain signals directly into action.
I came to software engineering through adjacent paths, graphic design, a printing business, experiments that didn't stick. I used to think that made my path unusual. Now I think it's why I build differently: I've had to learn fast, ship things that actually work, and start from zero more than once.