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Arelius-D/README.md

👤 About Me

For me, engineering is a continuous journey, not a static destination; the landscape is constantly shifting. I crave complexity and enjoy dissecting systems layer-by-layer to understand how they work under the hood. As a Cloud & Virtualization Specialist candidate, I apply this mindset to infrastructure design, building resilient and self-healing environments.

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🛠️ Technologies & Systems

Virtualization & Hypervisors

Hyper-V Proxmox VE VMware Docker Docker Compose

Enterprise Infrastructure & Directories

Windows Server Active Directory Microsoft Exchange System Center Configuration Manager RDS / RDP

Network Administration & Security

Linux Debian OpenWrt pfSense Raspberry Pi Zero Trust

Cloud & Hybrid Workspace Automation

Microsoft 365 Microsoft Intune Power Automate Power Apps Microsoft Graph API

Scripting & Developer Tools

GNU Bash PowerShell Python Visual Studio Code Git GitHub Antigravity

Architectural Concepts & Methodologies

Self-Hosted Homelab Infrastructure as Code Infrastructure as a Service Resource Management & Optimization

🎯 Upcoming & Future Focus

Microsoft Azure AWS


Architectural Principles & System Design

My approach to engineering is centered around bridging system layers, maintaining modular autonomy, and automating resilience.

Cross-Layer Engineering

I try my best to operate across the entire stack, writing automation that connects separate infrastructure boundaries by bridging physical hardware, hypervisors, containers, and routing namespaces.

Decoupled Autonomy

I like to believe that systems should be modular, self-contained, and run offline-first, ensuring individual components can isolate, monitor, and recover without cascading failures.

State-Driven Self-Healing

I like to believe that automation is more than just deployment; it is active lifecycle maintenance. I like to design systems with event-driven and polling watchdogs to continuously audit state and correct configuration drift on the fly.


My Roots

I started back in the DOS and Pascal eras, booting off floppy disks on 286 systems. That early exposure to CLI-driven command environments declared some internal variables in me. It's how I approach problems by dissecting each obstacle or point-of-failure into its structural layers to fully understand it before setting a goal to solve it.


📊 GitHub Statistics

GitHub stats

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  1. Cerebro Cerebro Public

    Intelligent Differential Backup & State Monitoring. Features content-aware change detection, noise filtering, and multi-destination sync.

    Shell 2

  2. NeXdocMan NeXdocMan Public

    A lightweight shell utility for automating installation, configuration and removal of Docker and Docker Compose on Debian-based systems.

    Shell 1

  3. ubuntu-24.04-hyperv-enhanced-session ubuntu-24.04-hyperv-enhanced-session Public

    Automated, idempotent setup script for Ubuntu 24.04 Hyper-V Enhanced Session. Bypasses the Xorg crash by enforcing TigerVNC and repairs PAM keyring login loops.

    Shell 1

  4. openwrt-netaudit openwrt-netaudit Public

    Forensic WiFi and wired network audit tools for OpenWrt on MediaTek hardware — RF site survey, client health, firewall inspection and more.

    Shell 2

  5. rpi-bookworm-to-trixie-guide.md rpi-bookworm-to-trixie-guide.md
    1
    # Upgrade Raspberry Pi OS: Bookworm → Trixie (Headless)
    2
    
                  
    3
    > **Target:** Raspberry Pi running Raspberry Pi OS Bookworm (Debian 12), headless (no desktop)  
    4
    > **Goal:** In-place upgrade to Trixie (Debian 13)  
    5
    > **Confirmed working on:** Raspberry Pi 5
  6. Stop and Fix Excessive Samba samba-d... Stop and Fix Excessive Samba samba-dcerpcd & rpcd_lsad Process Spawning
    1
    # Stop and Fix Excessive Samba `samba-dcerpcd` & `rpcd_lsad` Process Spawning
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    > **Target:** Standalone Linux / Raspberry Pi OS Samba file servers running Samba 4.16+  
    4
    > **Goal:** Stop CPU spikes and eliminate frequent on-demand spawning of RPC helper daemons  
    5
    > **Confirmed working on:** Raspberry Pi 5 / Debian Bookworm & Trixie