Summary
Kuanpin Chen is a VP and lead software engineer based in San Francisco with 8 years of experience bridging machine learning research and production-grade engineering. He has built and operationalized ML infrastructure and CI/CD for forecasting and optimization at energy and finance-focused teams, and now leads AI infrastructure at JPMorgan Chase. Technically fluent across AWS, Terraform, EKS/Helm, Prometheus/Grafana and model-training optimizations, he combines hands-on systems design with research into sampling and training acceleration from an AWS ML internship. Previously he co-founded a consumer app that reached top ranks in Taiwan and has background in M&A advisory, giving him a rare mix of product, business, and technical judgment. Trained in data science at the University of San Francisco and grounded in economics and philosophy, he brings pragmatic curiosity and cross-disciplinary thinking to production ML systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at National Taiwan University
Master of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco