Public-safe portfolio of reliability engineering, automation, and applied AI operations work.
This repo is not a dump of private infrastructure. It is a curated set of case studies and small standalone artifacts that show how I approach production systems: failure modes first, observability, recovery drills, security hygiene, and practical automation.
- Reliability remediation for service-backed systems
- Backup and restore validation
- Git history sanitation and secret-prevention workflow
- Operational runbook design
- Small automation tools built for boring, repeatable checks
- Backup Manifest Check: a small Python CLI that validates backup freshness, optional SHA-256 digests, and gzip readability from a JSON manifest.
Run it with:
python3 artifacts/backup_manifest_check.py artifacts/backup-manifest.example.json --prettyThe example manifest uses placeholder paths. Point it at a real local backup file when testing.
The original work was done in private operational repositories. This public repo uses synthetic examples and redacted descriptions only.
Before anything is published here:
- No secrets, tokens, keys, private IPs, customer data, personal records, or raw logs.
- No private hostnames, live domains, credential paths, or customer/prospect lists.
- Examples must run against synthetic fixtures or operator-provided paths.
- Every commit should pass a secret scan.
If you are reviewing this for hiring, the interesting part is not the exact stack. It is the operating style: define the failure surface, write the check, wire the recovery path, verify it, and leave the system easier to audit next time.