Resume

Texas A&M University

B.S. Computer Science, Minor in Mathematics. Expected May 2028

Regents Scholarship

Quantitative Developer, Factors Team @ Texas A&M Quantitative Fund

Jan 2026 to Sep 2026. College Station, TX

• Built a Python stat arb system on FinBERT sentiment and mean reversion signals to find S&P 500 trades
• Pulled real-time data from the Finnhub news API and LSEG market data for factor research
• Developed, backtested, and refined multi-factor systematic strategies with the research team
• Built and validated signals for a student-managed $60K portfolio

Outreach Chair @ TAMU ColorStack

Aug 2025 to present. College Station, TX

• Organize social events and intramurals for ~200 members
• Lead outreach, recruitment, and retention to grow an inclusive CS community

Founder @ DevBuilds

Mar 2025 to Aug 2025. Cedar Park, TX

• Ran a PC business serving 45+ clients: custom builds, repairs, and setup tuning
• Brought in $1K to $2K through diagnostics, upgrades, and gaming and productivity builds
• Kept clients coming back with upgrades, troubleshooting, and performance tuning

Sannvi | Python, FastAPI, React, TypeScript, Supabase, Stripe, Vercel, Railway

• Honesty Report on every run: out-of-sample split, Monte Carlo resampling, a random-trader control, and a buy-and-hold benchmark
• Walk-forward analysis, strategy mining, and NSGA-II genetic search, all with deflated stats so more searching doesn't inflate the score
• Bar replay with manual orders through the real engine, scored against random traders and your own strategy
• Paper trading on a daily schedule. No broker integration and no real orders, ever
• Stripe subscriptions, Supabase auth with row-level security, Sentry, and PostHog

Kalshi WC Bot | Python, XGBoost, SQLite, Kalshi API, APScheduler

• Dixon-Coles goals model with an ELO strength prior, a calibrated XGBoost fallback, and a logistic baseline it has to beat
• Trades only at 4%+ edge over Kalshi's implied probability, sized with half-Kelly and a hard 5% bankroll cap
• Live limit orders through the Kalshi API, settled to a SQLite ledger, with a Rich CLI dashboard
• Look-ahead guard on every feature and a time-ordered backtest (2018 dev, 2022 holdout)
• 80% profitable hit rate on live bets

LSTM Stock Bot | Python, PyTorch, SQLite, Alpaca, Finnhub, VADER

• End-to-end pipeline in one CLI: Alpaca and Finnhub ingestion, SQLite, 13 features, PyTorch LSTM, backtest, signals, paper orders
• 8 walk-forward folds, a 5-session embargo, train-only normalization, and look-ahead checks that block training on failure
• 50.5% accuracy (95% CI 50.1% to 51.0%) and +0.20% total return net of costs, vs -4.7% for logistic regression and -7.0% for random picks
• Paper-only by construction: the broker client refuses non-paper endpoints and orders are idempotent

Physics Engine | C++20, OpenGL, GLSL, GLM, CMake, Catch2

• Sequential-impulse solver with accumulated impulse clamping and a friction cone
• Exponential-map quaternion integration so rotation doesn't drift at high spin
• Shared contact point conserves angular momentum to machine precision
• Tests for free fall, bounce height, the 5/7 slide-to-roll speed, momentum conservation, and bitwise determinism
• Custom GLSL vertex and fragment shaders for real-time rendering

Internship Tracker | Next.js, TypeScript, Supabase, Tailwind CSS, Vercel

• Daily Vercel Cron sync of Simplify listings into Supabase
• Filter by role type, location, and what's new since my last visit
• Kanban pipeline with notes, deadlines, follow-ups, and contacts per application
• Discord alerts for new listings and follow-up reminders, plus a stats page for weekly apps and response rate
• Apply kit: resume, links, and saved answers one click from the clipboard

Network HomeLab | Linux, Proxmox, Docker, NAS, Plex, AdGuard

• Linux host with NAS storage and containerized services
• Docker containers managed on Proxmox
• Plex for media streaming and AdGuard for network-wide ad blocking