About
I'm a graduate student at Arizona State University (MS Computer Engineering, expected Spring 2027) building at the intersection of quantitative finance and software engineering. I've shipped two production systems: ALFRED, an algorithmic trading platform with a 4-signal hybrid engine and live backtesting, and PitchFlows, a cold outreach SaaS with 20+ active users and 1,000+ emails sent. Previously interned as a data scientist in India. I write about what I build, what I learn, and how I think about markets.
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Work Experience
Education
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Full-stack algorithmic trading platform with a 4-signal hybrid engine (technical, fundamental, sentiment, ML). LightGBM alpha model trained on 39 engineered features with TimeSeriesSplit to prevent lookahead bias. Production risk layer: Half-Kelly sizing, 95% VaR guard, ATR-scaled stops, drawdown circuit breaker. Vectorized backtesting computes 15 metrics including Sharpe, Sortino, Calmar, CAGR, and alpha vs SPY.
Production SaaS for personalized cold email outreach. Orchestrates up to 17 cascaded LLM API calls per email (GPT-4o research → Claude strategy → Claude drafting) with early-exit at ≥35% estimated reply probability. Segments recipients into 8 audience buckets, selects from 5 adaptive draft strategies, scores outputs across 6 weighted signals. 20+ active users, 1,000+ emails sent.
Contact
Open to internship opportunities, quant/fintech roles, and interesting conversations about markets and systems.