Engineer and Computer Scientist
I have nearly a decade of experience in engineering and applied science within the tech industry, including four years at Amazon (US), where I developed production-level time-series forecasting models that predicted billions of dollars in advertising revenue.
I hold a Master's in Computer Science from NC State University. I stay connected to the most recent scientific research in applied computer science and aim to apply those learnings to the applications I develop through my bootstrapped foundry approach.
Solo, bootstrapped startup (applied science business) scaled through agent-orchestrated workflows. Semi-automated system where multiple AI agents collaboratively digest AI/ML research, identify applicable techniques, and develop consumer applications for web and iOS deployment.
In parallel, I am seeking a PhD in Applied AI to build deep specific knowledge within a productive research group. Current interests include multi-agent systems, causal inference, and computer vision.
Explore my research and writing or view the applications I've built.
Identify rocks and minerals from photos using vision‑language models with geological context.
Turn receipt photos into structured expenses with AI‑powered budget tracking and iCloud sync.
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