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
3 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at University of Science and Technology of China
Master's Degree, Financial Engineering, Master's Degree, Financial Engineering at University of California Berkeley
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at University of California, Los Angeles
English, Chinese