Computer Science · AI/ML · Quantitative Finance

I build AI systems for markets and classrooms.

CS undergraduate at San José State University. I co-authored a peer-reviewed ACM SIGCSE 2026 paper, built an NLP equity-scoring model on IBM Watson, and trade equities, options, and futures on the side. I care about turning noisy data into signals you can actually defend.

Wrapped my HwyHaul internship · July 2026 — building in public & open to what’s next

See what I'm shipping → Resume services

Launch pricing ends Aug 15 · 12 template packs · 273 template assets

Co-author, SIGCSE TS 2026 — DOI: 10.1145/3770761.3777339 · ex-HwyHaul — case study · GitHub · LinkedIn

78%Model directional accuracy · 6-mo backtest

60Research study participants

40%Web engagement lift · SVEC

+0.117REdge over 4,933 trades, 129-symbol 10-yr universe (95% CI +0.057–+0.174)

Disclosures

The figures above are research and engineering results, not live trading performance. The 78% directional accuracy is a six-month backtest of a model. An early +0.23R result over 101 trades did not survive my own adversarial re-test; the defensible figure is +0.117R over 4,933 trades (95% CI +0.057–+0.174), and most of that is market drift rather than the signal itself. Backtested and simulated results do not represent live trading, and past performance does not guarantee future results. No live profit-and-loss figures are claimed anywhere on this site. Nothing here is financial, investment, tax or legal advice.