From a working application to a repeatable delivery path. Explore my public engineering lab across Python APIs, cloud infrastructure and GitOps.
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Three parts of one engineering lab: application, infrastructure and delivery.
Argo CD and Kustomize definitions connect applications, networking and observability. Separate development and smoke roots make the intended environments readable in Git.
Desired-state definitions in an engineering lab; no running cluster is implied.
Read the source · Revision 8f4f31226fd5
Terraform provisioning and Argo CD bootstrap describe the route from cloud resources to application delivery. Bounded smoke and cleanup workflows make the lifecycle explicit.
Provisioning code and workflows; no currently running environment or billing guarantee is claimed.
Read the source · Revision cb7c88f84e9f
A FastAPI service with project-scoped conversations, stored transcripts and OpenTelemetry instrumentation. Provider failures are handled separately from successful chat history.
Application code in an engineering lab; no hosted commercial service or customer results are claimed.
Read the source · Revision 899ba6434745
These projects explore three connected engineering problems. Each one links to the implementation so you can inspect the decisions, boundaries and code.
- Reviewable deployments. Express the desired environment in Git, with explicit application and platform boundaries.
- Repeatable environments. Keep provisioning, bootstrap and cleanup steps visible instead of relying on undocumented setup.
- Traceable AI applications. Connect API behavior, conversation persistence and telemetry in one inspectable backend.
These are public code projects. Explore the repositories for setup requirements and implementation detail.