Senior IT Infrastructure & Service Delivery Manager
20+ years in professional IT across enterprise infrastructure, IT Operations, ITSM, service delivery, systems administration, networking, technical support, IT procurement, and vendor management.
LinkedIn · Professional portfolio
I lead and support dependable IT services, infrastructure operations, and practical service improvement. This profile brings together portfolio proof-of-concepts focused on operational visibility, sound governance, and accountable technology decisions.
- Infrastructure & operations: enterprise systems, networking, administration, technical support, service continuity
- ITSM & service delivery: incident and request management, service-desk operations, SLA/KPI reporting, continuous improvement
- Procurement & suppliers: technical requirements, lifecycle planning, supplier coordination, vendor performance
- Automation & analytics: Python, PowerShell, Power BI, workflow automation, responsible AI exploration with human oversight
Projects are listed from newest to foundational. Each is a portfolio proof of concept, not a claim of production deployment.
A synthetic-data, deterministic Python CLI that flags missing change evidence, overlapping windows on shared services or confirmed dependencies, and supplied blackout conflicts. Every result requires human review; it does not approve, schedule, or deploy changes.
A synthetic-data, deterministic Python demo mapping fictional services to technology providers and flagging shared providers and unconfirmed dependencies for human review. It does not assess actual risk or compliance.
A fictional-data, deterministic review tool that flags missing ownership, dependency confirmation, backup evidence, or exercise dates. It does not verify recoverability or execute actions; human review is required.
A synthetic-data, deterministic rules demo for procurement lifecycle visibility, supplier scorecards, contract-renewal review, and management reporting. Human review is required; no live systems or procurement actions.
A review-only incident-triage demo using seven synthetic cases. Its transparent rules suggest priorities, flag missing context, and generate reports; it is not an AI model, connects to no live systems, and executes no actions.
A read-only, synthetic-data ITAM demo for lifecycle validation, warranty exposure, refresh planning, data-quality checks, and explainable risk scoring.
A governance-focused prototype connecting event correlation and deterministic diagnosis to risk assessment, policy checks, human approval, simulated remediation, and audit reporting.
Read-only system, network, DNS, service, and availability checks translated into operational risk findings and management reports.
A synthetic-data service-desk prototype exploring ticket classification, priority/SLA recommendations, knowledge suggestions, and approval controls. The baseline uses transparent rules.
ITSM reporting with 1,200 synthetic incidents, management KPIs, and a Power BI implementation guide.
- IT Procurement & Vendor Performance Management — Supplier SLA scorecards, renewal review, and human-governed procurement decisions. Project #7 (1 November 2026)
- From AIOps to AgenticOps: Turning IT Signals into Governed Action — Risk-based autonomy, human authorization, and auditability. Project #4
- Infrastructure Health Checks: Turning Technical Signals into Operational Risk — Connecting infrastructure signals with service impact and operational decisions. Project #3
- From ITSM Data to Better IT Operations Decisions — Using ITSM measures to support service-management decisions. Project #1
A proposed synthetic-data, rules-based review of runbook ownership, service mapping, review recency, and operational completeness. This follow-on is not built; no repository or article is available. The rationale is current: PeopleCert's 2026 article on Knowledge Management and agentic AI stresses the need for current, owned knowledge, while Google's SRE Workbook recommends regularly reviewing incident plans and playbooks. The proposed scope is documentation lifecycle governance, not knowledge retrieval or autonomous action.
I use synthetic or sample data in portfolio demonstrations, make assumptions visible, and keep human accountability clear. The projects explore practical approaches; they do not claim production outcomes or measured business benefits.
Technologies and domains: ITSM · IT Infrastructure · Windows Server · Active Directory · VMware · Citrix · Cisco · MikroTik · Networking · Python · PowerShell · Power BI · IT Procurement · Vendor Management