SRE / DevRel // homelab-powered
Architecture with range: reliable today, scalable tomorrow.
I connect strategy and operations to build automation-first platforms that stay calm under pressure.
Creative where it helps, proven where it matters.
No backup, no mercy.
- Big-picture architecture
- Cluster-ready operations
- DR-aware by default
- Creative + proven tooling
Quick Signals
- No trackers
- Automation with intent
- Lab to enterprise-ready
- Professional, still human
Impact / Value
What you get:
- Reproducible environments and predictable delivery with IaC-first workflows
- Architecture-level clarity from day one, not after incident #3
- Operational calm through observability, automation, and DR thinking
- Creative solutions grounded in proven building blocks
Style & Signature
How I work when stakes are high and timelines are real:
Big-picture, then execution
- I map dependencies early so teams see the whole system, not isolated tickets
- I design for sustainability, maintainability, and predictable operations
- I use proven patterns first and add creative moves where they create leverage
- I stay solution-oriented from architecture draft to production handover
Ops personality
- "No backup, no mercy."
- "Have you tried restarting it yet?" Sure. Then we fix root cause.
- I take reliability seriously, not myself.
- Authentic tone, clear communication, measurable outcomes.
Competencies
Infrastructure & Platforms
- Linux operations and automation
- Virtualization and container platforms
- Kubernetes lifecycle, ingress, and workload operations
- GitOps and infrastructure-as-code workflows
Networking & Access
- VLAN-oriented segmentation patterns
- Reverse proxy and identity-aware access design
- Load balancing concepts
- BGP-oriented routing approaches
Observability & Security
- Monitoring and alerting practices
- Log pipelines and diagnostics
- Defensive tooling and security-minded operations
Proof & Signals
Credibility without personal data:
- Cluster operations run in a production-like homelab as a proving ground for architecture decisions.
- Automation and DR concepts are tested early, so recovery plans are practical and repeatable.
- Preference for mature OSS components with long-term viability and low operational surprise.
- The lab is not a toy; it is the runway to enterprise-ready delivery.
Selected Work
Homelab Infrastructure Lab
A multi-service lab where cluster behavior, failover, and recovery are validated end to end.
- Cluster operations, storage, routing, and automation tested under realistic constraints
- DR scenarios rehearsed before patterns move into broader use
Automation & AI Workflows
API-driven integrations and event-based automation that reduce manual work and increase throughput.
- Automation flows designed for repeatability, not heroics
- Less repetitive operations, more focused engineering time
Creative AI Experiments
Creative AI experiments used to prototype practical tooling and workflow ideas.
- Rapid prompt/model experiments with clear operational intent
- Useful patterns promoted from sandbox to day-to-day operations
Operating Principles
- Open-source first, when it is the right tool
- Automate what repeats
- Observability is a feature, not an add-on
- Prefer reliable, proven building blocks
- Treat documentation as an operational artifact
- Iterate in small, reversible steps
Tech Stack
Grouped by delivery area:
Platforms
- Linux
- Proxmox
- Docker
- Kubernetes
- Talos
Networking & Access
- Reverse Proxies
- Identity/SSO Patterns
- VLAN Segmentation
- BGP Concepts
Observability & Security
- Wazuh
- CheckMK
- Logging Pipelines
Collaboration & Automation
- Nextcloud
- n8n
- Authelia
- API Integrations