Summary
Chengzhi Huang is a software engineer with nine years of experience focused on backend systems, natural language processing, and quantitative modeling for exotic options pricing. Based in California, he currently builds infrastructure for AWS Trainium Collectives after contributing to EC2 Networking and Hyperplane services. He holds an MS in Computational Finance from Carnegie Mellon, blending finance domain expertise with production-grade engineering to bridge ML hardware, networking, and pricing models. Colleagues rely on him for pragmatic system design that balances performance and correctness, and he brings a rare combination of financial mathematics and cloud-scale implementation experience to complex, latency-sensitive problems.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Finance, General, Bachelor's degree, Finance, General at Shanghai University of Finance and Economics
Master of Science - MS, Computational Finance, Master of Science - MS, Computational Finance at Carnegie Mellon University
Chinese, English