n8n Workflow Automation
Built and tested workflow automations integrating APIs, scheduled actions, device logic and operational processes.
Infrastructure, Automation & AI Systems Engineer
I've spent my career keeping enterprise networks and systems running — from data centres and WANs to managed services at scale. Today I'm bridging that operational depth with practical AI: Python automation, agentic workflows, locally hosted LLMs and API-driven tooling.
Infrastructure and network engineer with 15+ years across enterprise IT, managed services, systems support and technical operations — with a growing specialisation in automation and practical AI systems. Hands-on with Python, workflow automation, API integrations, Cisco automation, n8n, locally hosted LLMs, agentic development tools and AI chatbot frameworks. Strong grounding in real-world troubleshooting, monitoring and systems reliability — able to bridge traditional IT operations and modern AI-enabled workflows.
From help-desk beginnings in 2006 to AI-enabled infrastructure engineering today.
Where it all started — remote and on-site support across client environments: hardware, software and network troubleshooting, monitoring, vendor coordination and documentation.
Designed and maintained network environments across a government landscape — upgrades, installations, change control, asset tracking and infrastructure resilience initiatives.
Business-critical network operations: LAN/WAN, leased lines, MPLS/VPN, BGP, firewalls and load balancing — combined with root cause analysis, change control and operational improvement.
Led support and operations teams — monitoring, escalations, outage response, solution design and process improvement in a fast-moving environment.
Field engineering across Cisco routing & switching, wireless, VoIP, WAN and hosted infrastructure — deployment, upgrades and optimisation in enterprise client environments.
Designed and supported networks spanning routers, switches, wireless, firewalls and cloud-connected infrastructure — surveys, analysis and documentation to improve visibility and performance.
Cisco networking, wireless, virtualization and Microsoft server environments — Layer 1–3 support, VoIP, telecoms and migration activity.
L2 managed services across client environments — resolving complex infrastructure incidents against SLA commitments, monitoring and operational analysis, and identifying automation opportunities to lift service quality.
Built and tested workflow automations integrating APIs, scheduled actions, device logic and operational processes.
Cisco automation concepts and workflows — combining deep networking experience with scripting and efficiency improvements.
Self-hosted LLM environments and practical AI tooling in applied engineering scenarios — chatbots, API frameworks and Hugging Face ecosystem experiments.
A foundation of vendor certifications, now extended into AI and automation.
All 27 verified badges on Credly →
Every so often the IETF publishes a real, numbered standard on April 1st. These actually exist — pick your favourite piece of networking absurdity.
“A Standard for the Transmission of IP Datagrams on Avian Carriers.” Carrier pigeons: the original low-latency… wait, no — high-latency packet transport.
“Hyper Text Coffee Pot Control Protocol (HTCPCP/1.0).” The standard behind HTTP 418 — “I'm a teapot” — and the eternal war on decaf.
“The Twelve Networking Truths.” Including truth #6: it is easier to move a problem around than to solve it. Two decades later, still undefeated.
“IP over Avian Carriers with Quality of Service.” The sequel nobody asked for: pigeons, now with QoS guarantees and coaxial cable.
Craving more? The full archive spans ARPAWOCKY, the Infinite Monkey Protocol Suite and beyond — browse every humorous RFC →
Open to AI Engineering, Infrastructure Automation and hybrid Network / AI Engineering roles.