Yuntian Ye is an AI engineer with eight years of experience building ML infrastructure and production systems, currently working across a stealth startup and Nomura Research Institute while based in Seattle. He brings deep ML platform expertise from Wayfair—designing Kubernetes-deployed services, cost-tracking and resource-recommendation tooling, Kubeflow pipelines, and observability integrations—that directly reduced training costs and improved SLO reliability. Academically grounded in data science from NYU Shanghai and MEng studies at Cornell/Cornell Tech, he has research experience in probabilistic time-series (contributing to GluonTS at AWS) and teaching NLP and math courses. Comfortable spanning Python backends, TypeScript UIs, Terraform/GCP infra, and CI/CD, he focuses on smoothing the ML engineer experience from dataset to deployment. Notably, he blends hands-on product delivery with academic rigor, enabling practical, well-instrumented solutions for large-scale ML workflows.
8 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell Tech
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.