Summary
Kae-yang Hsieh is a DevOps/Site Reliability engineer with a decade of experience building and operating resilient infrastructure across AWS, GCP and on-prem environments. He has a strong track record designing high-availability architectures, implementing cross-platform monitoring (Prometheus/Grafana/Datadog/Sensu) and automating CI/CD and deployment pipelines with Terraform and Kubernetes. His background blends deep learning and robotics research—he built scalable GPU clusters and UWB-based indoor positioning systems—bringing a research-driven approach to production reliability. At companies from PIXNET to LSEG he has driven measurable operational improvements (faster provisioning, reduced troubleshooting time) and mentored engineers. Based in Medford, MA, he’s an active community sharer who combines systems engineering rigor with hands-on coding in Python, C++ and shell.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Bio-Industrial Mechatronics Engineering, Bachelor of Engineering - BE, Bio-Industrial Mechatronics Engineering at National Taiwan University
Master of Science - MS, Information Systems, Master of Science - MS, Information Systems at Northeastern University
Chinese, English