Projects
These projects reflect the systems I have been building: release checks, support automation, incident triage, drift monitoring, SLO alerting, and Kubernetes operations. The repositories include local tests, CLI or API behavior, and deployment-readable infrastructure assets.
iOS | SwiftUI | SRE | Swift Testing
I built a native iOS and iPadOS SRE incident commander app with deterministic service metrics, tested SLO/error-budget calculations, runbook-driven incident workflow, Reliability Lab simulations, and Markdown post-incident review export.
Release Reliability | Python | FastAPI | Prometheus
I built a deterministic release-gate service that evaluates rollout evidence, customer impact, latency, saturation, and incident signals to recommend continue, pause, or rollback decisions.
RepositoryAI Support | Vector Search | FastAPI | Evaluation
I built a deterministic support assistant that retrieves the best incident runbook, returns cited next actions, and includes retrieval evaluation gates for support-quality checks.
RepositoryIncident Triage | Python | CLI/API | Kubernetes
I built a production-support style CLI and API that extracts evidence, classifies severity, maps likely causes, and returns structured summaries for incident handoffs.
RepositoryMLOps | Drift Monitoring | FastAPI | Terraform
I built a drift monitor that compares baseline and current model inputs, produces JSON drift reports, and exposes both CLI and API paths with metrics and deployment scaffolding.
RepositorySRE | Prometheus | SLO Burn Rate | API
I built an SRE lab that evaluates multi-window burn rates, routes page/ticket/ok decisions, and writes incident-ready reports for platform reliability practice.
RepositoryKubernetes | Log Triage | Runbooks | Metrics
I built a Kubernetes-focused triage service that scores log batches, identifies likely incident classes, returns runbook steps, and exposes Prometheus metrics.
Repository