DevOps engineer and builder focused on automation, infrastructure resilience, security tooling, and AI-assisted engineering workflows.

I work with CI/CD, cloud infrastructure, Linux, GitHub Actions, Docker, scripting, and security-focused automation. I’m especially interested in how AI agents can become practical engineering tools when combined with local execution, dry-runs, approval flows, audit logs, and reusable automation.

I’m currently building and experimenting with projects such as LeakGuard, a local-first browser extension for reducing sensitive-data leakage into AI tools, and Sentinel-AI, a local automation/control-center concept for self-healing workflows, playbooks, and AI-assisted operational tooling.

My main interests are:

• Codex and AI-assisted software development

• DevOps and platform engineering

• local-first AI workflows

• enterprise agent governance

• automation memory and reusable playbooks

• security, privacy, and operational resilience

I like contributing practical ideas that come from real engineering workflows, especially around making AI tools safer, more useful, and more trustworthy for developers and enterprises.