Summary
Xuan Ding is a director-level software engineer with 11 years of experience blending quantitative modeling and production-grade systems engineering across finance and tech. He has driven GPU-accelerated valuation engines, stochastic-on-stochastic capital systems, and distributed CPU/GPU inference platforms at organizations including Lincoln Financial, Transamerica, Amazon, Meta, and now SMBC Group. Technically fluent in C/C++/CUDA and high-level scripting like Python and Node.js, he pairs low-level performance tuning with workflow automation and treasury data platforms. His background in physics and statistics underpins a pragmatic approach to complex risk and hedging problems, while a vim-first coding ethos hints at a developer who prefers efficient, hands-on solutions.
11 years of coding experience
12 years of employment as a software developer
BS, Physics, BS, Physics at University of Science and Technology of China
MS, Statistics, MS, Statistics at University of Massachusetts Amherst
English, Chinese