At TradeQuantiX Systematic Trading Solutions LLC, I run a self-funded portfolio of 25+ systematic strategies across US, Canadian, and Australian equities. I publish live performance and systematic trading research, and I test signals out of sample and across markets and regimes.
At GE Aerospace, I build Python Monte Carlo risk models that estimate part-failure probability for engine-critical rotating parts. I developed a probabilistic risk methodology that recovered a life shortfall and saved the business $25M+ over 3–5 years.
I'm leading the rewrite of 30,000+ lines of production fracture-mechanics code from Fortran to Python; more efficient calculations have delivered a proven 10x speedup. I'm also building a cross-sectional, long-short, volatility-neutral crypto trading engine with cost-aware execution.

