Microsoft Infrastructure Engineer | Azure | Intune | Entra ID | Windows Server | PowerShell | Terraform | CI/CD
Microsoft-focused Infrastructure Engineer building hands-on labs across Azure, Intune, Entra ID, Windows Server, PowerShell, Terraform, CI/CD, containers, and monitoring.
This profile highlights practical infrastructure projects that demonstrate cloud administration, identity and endpoint management, automation, and clear technical documentation.
- Microsoft Infrastructure
- Azure Administration
- Identity & Endpoint Management
- Infrastructure as Code
- CI/CD Automation
- Monitoring & Observability
| Project | Focus | Technologies | Status | Link |
|---|---|---|---|---|
| Azure DevOps Platform Lab | Terraform landing zone, GitHub Actions, Azure DevOps Pipelines, Docker, Azure Container Apps, Azure Monitor | Terraform, GitHub Actions, Azure DevOps, Docker, Azure Container Apps, Azure Monitor | In Progress | View project |
| Intune / Autopilot / Endpoint Compliance Lab | Intune, Autopilot, compliance, Conditional Access | Microsoft Intune, Windows Autopilot, Conditional Access, Compliance Policies | Completed | View project |
| Microsoft Identity & Endpoint Lab | Entra ID, Intune, MFA, Conditional Access, PowerShell | Microsoft Entra ID, Intune, MFA, Conditional Access, PowerShell | Completed | View project |
| Windows Server Active Directory Lab | Windows Server 2022, Active Directory, DNS, GPO, SMB, NTFS | Windows Server 2022, Active Directory, DNS, Group Policy, SMB, NTFS | Completed | View project |
| Azure Infrastructure Admin Lab | Azure VM, VNet, NSG, secure access, provisioning, hardening | Azure Virtual Machines, Virtual Network, NSG, Bastion, PowerShell | Completed | View project |
Alongside my Microsoft infrastructure work, I also build AI systems focused on reasoning workflows, retrieval-augmented generation, technical documentation, and automation.
| Project | Focus | Technologies | Status | Link |
|---|---|---|---|---|
| CortexAI / Reasoning-Enhanced SLM 2.0 | Custom reasoning-enhanced LLM + RAG research assistant | Mistral-7B, LoRA, PEFT, TRL, RAG, Qdrant, OpenAI Embeddings, Python | Completed | View project |
Built an AI systems lab combining supervised fine-tuning, LoRA adapters, and retrieval-augmented generation to create CortexAI, a research-paper chat assistant.
The project uses a custom Reasoning Blueprint System to generate structured first-principles reasoning data, fine-tunes Mistral-7B-Instruct with LoRA, and adds a Qdrant-backed RAG layer for updatable document knowledge.
Pipeline: Reasoning Blueprints -> 500k JSONL Dataset -> LoRA Fine-Tune -> RAG Retrieval -> CortexAI Chat
Key points:
- Designed a Reasoning Blueprint System for first-principles decomposition and systems-style reasoning.
- Generated a custom ~500k-example supervised fine-tuning dataset.
- Fine-tuned Mistral-7B-Instruct using LoRA, PEFT, and TRL on Apple Silicon MPS.
- Built a RAG layer using document ingestion, chunking, OpenAI embeddings, and Qdrant vector search.
- Separated reasoning behaviour from factual knowledge: LoRA shapes reasoning style, while RAG supplies external context.
Tech: Mistral-7B, LoRA, PEFT, TRL, RAG, Qdrant, OpenAI Embeddings, Python
Microsoft Infrastructure: Windows Server, Active Directory Domain Services, DNS, Group Policy, SMB, NTFS, server administration
Cloud & Identity: Azure, Microsoft Entra ID, Microsoft Intune, MFA, Conditional Access, endpoint compliance
DevOps & IaC: Terraform, GitHub Actions, Azure DevOps Pipelines, CI/CD workflows, infrastructure provisioning
Monitoring: Azure Monitor, Log Analytics, alerting, metrics, operational troubleshooting
Containers: Docker, Azure Container Apps, containerized deployment workflows
Automation: PowerShell, scripting, repeatable deployments, configuration tasks
Networking: Azure Virtual Network, NSG rules, secure access, DNS, subnetting, connectivity troubleshooting
- Portfolio: https://syscdsoftware.com
- GitHub: https://github.com/SysCd