Summary
Inseo Kim is a seasoned software engineer with 11 years of experience specializing in cloud-native ML/AI platforms and SRE practices, currently building an AI Training Service on Google Cloud with cross-cloud integrations to AWS. He blends hands-on expertise in Go, Python, and TypeScript with infrastructure-as-code (Terraform), CI/CD optimization (GitLab CI, Cloud Build, BuildKit) and security hardening (Binary Authorization, Trivy, SCC). His work spans designing Vertex AI Pipelines and Kubeflow-based ML workflows, operating GKE/Cloud Run services, and automating multi-environment deployments for collaborative robotics. Comfortable in both strategic architecture and day-to-day ops, he also drives team practices as a former Scrum Master and technical advisor. Based in Fukuoka, Japan, he’s recently exploring AI-assisted development workflows (e.g., Claude Code), signaling a pragmatic interest in tooling that accelerates engineering velocity.
10 years of coding experience
4 years of employment as a software developer
A.S. (3-year diploma program), Computer and Information Sciences, General, 3.81, A.S. (3-year diploma program), Computer and Information Sciences, General, 3.81 at Yeungjin College
Korean, Japanese, English