Architecting sovereign, high-performance local infrastructure through hardware revalorisation and hardened systems engineering.

I approach technology with a research-and-development mindset. I leverage open-source documentation, technical whitepapers, and hands-on lab environments to master complex systems from scratch.

All 9 systems running right now with proof:

• ✅ Proxmox VE — 5 containers operational
• ✅ OPNsense Gateway — 6.5h uptime
• ✅ Syncthing — 3-node sync confirmed
• ✅ Gitea — 14 automated tasks
• ✅ Prometheus — 7h+ uptime, zero corruption
• ✅ Grafana — Dashboard visualization live
• ✅ Pi-hole DNS — 162,812 blocklists
• ✅ Arch GPU Cluster — 24 GB VRAM, LLM inference
• ✅ Raspberry Pi — Multi-service hub

→ FULL SCREENSHOT GALLERY WITH CLICKABLE LINKS
→ DETAILED OPERATIONAL ANALYSIS

• ⚡ Sovereign AI Infrastructure: Designing distributed, bare-metal compute clusters optimized for local inference (4×GPU clustering, multi-node orchestration, zero cloud dependencies).
• 🐧 Hardened Linux Systems: High-level administration of Arch Linux, Kali Linux, Debian, and Ubuntu environments with Docker containerization and distributed systems architecture.
• 🛡️ Security Automation: Autonomous agents for log monitoring, network reconnaissance, threat detection, and AI-driven security operations (NVIDIA Morpheus integration).
• ⚙️ Infrastructure-as-Code: Declarative deployments, configuration management, reproducible node recovery, and resilient system design.
• 🏗️ Hardware Revalorisation: Repairing, optimizing, and orchestrating recycled enterprise-grade hardware for high-performance local workloads.

🐧 Operating Systems  ::  Arch Linux, Kali Linux, Debian, Ubuntu Server, Raspbian
🐳 Containerization   ::  Docker, Docker Compose, Proxmox VE, LXC
🤖 AI Runtime         ::  Ollama, CUDA, Multi-GPU VRAM pooling, Qwen 3.5:27B
📊 Monitoring         ::  Prometheus, Grafana, custom Python agents, ELK stack
🛡️ Security           ::  Suricata IDS, NVIDIA Morpheus, MCP Bridge, custom log analytics
🌐 Networking         ::  VLAN segmentation, Tailscale, custom DNS, SSH hardening
⚙️ Orchestration      ::  n8n workflows, Gemini CLI, systemd, Bash/Python automation
🔧 IaC               ::  Terraform, Ansible (in development)

[Internet]
     │
[Dell Gateway / Monitoring Node]
     │
[Internal LAN (192.168.x.0/24)]
     ├── [Kali Master Orchestrator & SecOps Hub]
     ├── [Arch GPU Compute Cluster]  ← 4× NVIDIA P106-100 / 24 GB VRAM
     ├── [Raspberry Pi IDS / DNS / Network Services]
     └── [AMD Canwork189 Storage & CPU Worker]

• Arch-GPU: Arch Linux, 4× NVIDIA P106-100 (24 GB VRAM), local LLM inference, Ollama runtime
• Kali-Master: Kali Linux, master orchestration, security ops hub, MCP bridge, autonomous agents
• Raspberry-Pi: Raspbian, IDS (Suricata), DNS services, network monitoring, threat detection
• Dell-Gateway: Debian, internet gateway, Prometheus/Grafana monitoring, uptime sentinel
• AMD-Storage: Ubuntu Server, distributed storage, CPU-bound analytics, backup services

sovereign-ai-infrastructure (core docs)
     ├── local-ai-sovereign-stack (Docker AI stack)
     ├── arch-linux-multi-gpu-llm (GPU optimization)
     ├── cybersecurity-lab-automation (Security agents)
     ├── python-security-analytics (Analytics scripts)
     ├── sovereign-ai-security (Morpheus integration)
     ├── sovereign-ai-skills (AI skills)
     ├── n8n-automation-hub (Workflows)
     ├── ai-workflow-automation (Repo management)
     ├── infrastructure-as-code-lab (IaC)
     ├── proxmox-homelab-setup (Hypervisor)
     └── network-labs-documentation (Networking labs & certifications)

9 operational screenshots with clickable full-size links:

1. Proxmox VE Dashboard - View
2. OPNsense Firewall - View
3. Syncthing Sync - View
4. Gitea Automation - View
5. Prometheus Metrics - View
6. Grafana Dashboard - View
7. Pi-hole DNS - View
8. Arch GPU Cluster - View
9. Raspberry Pi Hub - View

→ FULL OPERATIONAL ANALYSIS

• sovereign-ai-infrastructure — Central documentation hub with topology, hardware specs, and architecture
• infrastructure-as-code-lab — IaC deployment frameworks (Terraform, Ansible)
• proxmox-homelab-setup — Hypervisor & LXC container setup

• local-ai-sovereign-stack — Docker AI stack (Ollama, Prometheus, Grafana, n8n)
• arch-linux-multi-gpu-llm — GPU cluster optimization and CUDA tuning

• cybersecurity-lab-automation — Security agents, MCP Bridge, autonomous monitoring
• python-security-analytics — 40+ security analysis scripts
• sovereign-ai-security — NVIDIA Morpheus AI SecOps integration
• sovereign-ai-skills — Custom AI skills and Gemini CLI integration
• n8n-automation-hub — Workflow automation and orchestration
• ai-workflow-automation — Repository management and documentation automation

• network-labs-documentation — Cisco Packet Tracer labs (OSPF, ACLs, VLANs, routing) and CTF challenges

• Academic: Refining infrastructure methodologies through formal Network Infrastructure & Cybersecurity studies at Collège de Bois-de-Boulogne.
• Certifications: Pursuing enterprise networking validation (Cisco CCST & CCNA) with hands-on labs in OSPF configuration, advanced ACL filtering, and multi-area routing design.
• Hands-On Research: Continuous lab experimentation in distributed systems, security automation, and AI inference optimization.

Sovereignty through ownership. Resilience through design. Knowledge through practice.

Every component runs locally. Every decision is documented. Every failure is a learning opportunity. The lab is not just infrastructure—it's a living system for understanding distributed systems, security operations, and network engineering.

This is not a theoretical exercise. These repositories contain:

• Real hardware optimized through hands-on troubleshooting
• Real workflows that automate actual security and infrastructure operations
• Real performance data from 24 GB GPU clusters running production LLMs
• Real security tools defending actual infrastructure
• Real networking labs with hands-on OSPF, ACL, and routing protocol configurations

The goal is not to rent cloud services. It's to architect, deploy, and maintain a complete computing environment that is:

• Sovereign — No dependency on external providers
• Resilient — Built on redundancy and automation
• Performant — Optimized for inference and analytics at scale
• Observable — Every component monitored and logged
• Documented — Every decision recorded for future reference

This ecosystem is continuously evolving. If you're interested in:

• Multi-GPU LLM optimization
• Security automation at scale
• Infrastructure-as-Code best practices
• Autonomous AI agents for operations
• Hardware revalorization techniques
• Cisco networking certifications (CCST, CCNA)

Feel free to explore, reference, and adapt these approaches for your own infrastructure.

All repositories are openly documented to support the community and advance shared knowledge in:

• Distributed computing
• Security operations automation
• Sustainable hardware practices
• Local AI inference
• Enterprise networking and routing protocols

Built with research-and-development mindset. Powered by repurposed hardware. Governed by open standards. Owned entirely. Proven in operation.