I build software at the intersection of finance and technology. My projects range from AI-powered stock forecasting (15% accuracy improvement over baseline) to algorithmic trading bots with 60% win rates across 500+ backtested trades.
Currently a CS student at CSI (Class of 2027) with a 3.8 GPA, I've shipped full-stack applications, real-time data dashboards, and quantitative trading systems—all from idea to working code in days, not months. My work combines clean Python backends, React frontends, and a deep interest in how markets actually move.
Outside of class, I'm a part-time caregiver for my grandmother, which has taught me patience, consistency, and how to stay composed when systems break—skills that translate directly to debugging production code and working under pressure.
Summer 2026 SWE or Quant Research internships at trading firms, hedge funds, or fintech companies. I want to work on teams that ship fast, value data-driven decisions, and let juniors touch production systems.
Interested in: HFT infrastructure, risk management systems, market data platforms, backtesting engines.
P.S. I collect fragrances and can deadlift twice my bodyweight. Not on my resume, but context matters.
Built stock prediction platform that processes time series data and forecasts price movements using Facebook's Prophet algorithm.
Algorithmic trading system using price action, order flow, and smart money concepts to identify high-probability trade setups.
Real-time Formula 1 analytics platform that processes telemetry data and race statistics through WebSocket connections.
Marketplace platform for collectors with enterprise-grade authentication and real-time communication features.