Summary
Bolan Chen is a Full Stack Developer with 12 years of experience who blends advanced statistical training from Cornell with hands-on engineering to build scalable, production-ready systems. He has shipped cloud-native applications and real-time infrastructure—from Kubernetes-driven Next.js deployments and Rust chat servers to Python monoliths powering AML rule automation using LLMs. At UC Davis he turned 110+ years of wildfire and 200GB+ satellite data into a deployed spatiotemporal Transformer model, demonstrating a rare mix of data science rigor and engineering pragmatism. Based in California, he favors automating operational complexity (cert-manager, MongoDB Operator, AWS controllers) and finds creative intersections between ML, statistics, and systems design to deliver measurable product impact.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of California, Davis
Master of Professional Studies, Statistics, Master of Professional Studies, Statistics at Cornell University