Quant Trader / Researcher
For desk roles — I lead with vol surfaces, autotrader tuning, RV/IV signals, and my LOB engine and arbitrage projects.
MS Computer Science (AI) · University of Chicago
My background spans quantitative trading, systems and infrastructure engineering, and applied ML research. Below are four résumés — one for each kind of role. Pick the one that matches what you're hiring for.
Résumés
For desk roles — I lead with vol surfaces, autotrader tuning, RV/IV signals, and my LOB engine and arbitrage projects.
Where I bridge my trading domain fluency with my software engineering work — for firms that want both.
My broad software engineering positioning for tech companies outside of fintech.
I lead with my research (UIUC computer vision work) plus my LLM fine-tuning, RAG, and multi-agent projects.
Not sure which fits? My master résumé is the source of truth I derive all four from.