Projects

Work, contributions, and proof points

Selected enterprise engagements, open-source systems, and sector evidence that show the work, the outcomes, and the technical depth behind them.

Abstract architecture graphic for the projects page
Case-study visual: enterprise systems, pathways, and delivery structure.

Selected enterprise engagements

Proof of delivery across retail, private equity, consumer brands, and the systems I build in public.

Consumer Brand IT Leadership

Lily's Kitchen

Scope

Full IT function build and leadership

Key Outcomes

  • Built IT team from early-stage to scale
  • Implemented enterprise ERP system
  • Led GDPR and data protection programme
  • Designed cloud-first infrastructure for growth

PE Portfolio Cloud Migration

Private Equity

Scope

40+ cloud migrations over 3-year programme

Key Outcomes

  • Standardized AWS Landing Zone across portfolio
  • Compressed migration timelines from months to weeks
  • Implemented governance guardrails and cost controls
  • Delivered measurable infrastructure cost reductions of 35-50% across 40+ AWS migrations, creating significant EBITDA impact across the portfolio

Retail Technology at Scale

Victorinox Bond Street

Scope

POS and back-office technology integration

Key Outcomes

  • Built multi-site retail technology platform
  • Integrated POS, inventory, and customer systems
  • Achieved 99.9% uptime in flagship retail environment
  • Supported high-velocity sales during peak seasons

Open source and tooling

Tools and systems that support automation, reliability, and production AI work.

ProjectLodestar

Multi-LLM routing system that optimizes cost, capability, and availability. Routes requests across providers based on model performance and price.

Key outcome:

90% average cost reduction in production deployments

PythonLLM RoutingCost OptimizationMulti-Provider
View on GitHub

Control Tower

GitHub-native control plane for AI-assisted projects. Uses GitHub as the orchestration platform—no new tools, no new dashboards.

Key outcome:

Zero-trust automation directly from version control

GitHub ActionsAI AgentsAutomationInfrastructure-as-Code
View on GitHub

SentinelForge

Strict governance, auditing, and observability for AI agent execution. Tracks decisions, flags drift, maintains audit trails for regulated environments.

Key outcome:

AI governance before it was mandatory

PythonGovernanceAudit TrailObservability
View on GitHub

KYNEĒ

AI-assisted portable security assessment platform. Runs from USB, leaves no footprint. Built for rapid security assessments in constrained environments.

Key outcome:

Rapid assessment capability without installation

SecurityAssessmentPortableAI-Assisted
View on GitHub

Zebra Ecosystem

Python framework for homelab automation and AI agents. Infrastructure-as-code principles for the home lab, because enterprise practices should not stop at the office door.

Key outcome:

Complete homelab automation with AI orchestration

PythonAutomationHomelabInfrastructure-as-Code
View on GitHub