Shide Foo is a Software Engineer specializing in Developer Experience with 9 years of hands-on experience building infrastructure, Kubernetes, and MLOps platforms for large-scale ML workloads. He has designed and run self-serve platforms that help data scientists train, deploy, monitor models, and manage feature stores at production scale, including owning a Feast-based feature store serving up to 70k RPS. His work spans cloud migrations, cost-optimization (e.g., halving container registry costs), and GitOps-driven management of 15+ Kubernetes clusters using ArgoCD. At Gojek he led cross-team migrations from Bigtable/Redis to HBase and moved offline stores to MaxCompute while improving observability and analytics for feature usage. Now focused on developer experience at Airwallex, he pairs deep systems knowledge (Go, Python, Terraform, Prometheus) with pragmatic automation to reduce toil and increase platform reliability. A former platoon commander and multi-disciplinary student (Music & Computing), he brings disciplined leadership and an unusual blend of technical and creative problem-solving.
9 years of coding experience
6 years of employment as a software developer
Music and Computing, Music and Computing at University of California, Berkeley
Masters Computer Science, Masters Computer Science at Georgia Institute of Technology
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