Summary
Ye Gao is a software development engineer and quant with 8 years of experience blending production-grade C++/Python engineering and advanced statistical modeling across Amazon Ads, Meta, and top Wall Street firms. Holding a PhD in Geophysics, an MS in Statistics and an MFE from UC Berkeley, he has built real-time pricing and risk systems, tenant-selection ML models, and data workflows that prioritize security and query readiness at scale. He pairs deep quantitative instincts—ARIMA, prepayment and interest-rate modeling, sensitivity-based P&L attribution—with pragmatic engineering to deliver tools traders and product teams actually use. A persistent problem-solver, he also demonstrates algorithmic rigor through public LeetCode solutions and a GitHub focused on coding practice. Based in New York, he thrives at the intersection of finance, data science and high-performance software.
8 years of coding experience