Summary
Richard Goulter is a systems-focused Lead Machine Learning Engineer with 14 years of experience building high-throughput ML infrastructure, cloud-native automation (AWS/GCP), and developer-facing platforms. He has a strong background in platform engineering and developer experience from roles across Grab, Musiio, and ZALORA, and blends software engineering rigor with embedded systems and PCB design experience. A pragmatic advocate for declarative configuration (Nix, Terraform) and automated testing, he specializes in making complex distributed systems reproducible and maintainable. Based in Vietnam and trained at the National University of Singapore, he combines production-scale ML ops expertise with hands-on hardware knowledge—plus an uncommon obsession for ergonomic mechanical keyboards that informs his attention to developer ergonomics.
14 years of coding experience
9 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at University of Canterbury
Shirley Boys High School
BComp (Computer Science), Computer Science, BComp (Computer Science), Computer Science at National University of Singapore