About
Delivering customer-facing enterprise integration across SAP BTP, SAP Integration Suite and S/4HANA, bridging architecture and production support in complex landscapes. Increasingly focused on PI/PO modernisation and regulated/hybrid constraints, with an emphasis on repeatable patterns, governance, operational reliability and delivery acceleration. Alongside this, building practical tools and evolving AI-assisted delivery through inventory-driven, prompt-assisted build and validation workflows, supported by guardrails, cost controls and human approval gates.
What I'm building towards
- Evolving from project delivery into repeatable platform thinking, so patterns, guardrails and artefacts can be reused across teams and programmes.
- Deepening my work in regulated and hybrid environments, where data boundaries, auditability and operational controls shape real-world design choices.
- Growing into an operating-model role, building standards, enablement and measurement (cycle time, defects, adoption) so delivery improves as teams scale.
- Building governed, AI-assisted delivery workflows, where structured inputs and human approval gates accelerate build and testing without weakening production discipline.
What I bring
- Turn discovery into repeatable delivery by standardising inventories, patterns and artefact packs so teams move faster with fewer missed requirements.
- Reduce production risk by designing for observability, safe reprocessing and controlled change, so handover and steady-state support remain straightforward.
- Accelerate build and testing safely through governed, prompt-assisted workflows (scoped tools, approval gates, traceability), keeping sensitive mapping and decisions under human control.
Accelerators & skills
How I deliver
Discover
Start with discovery to define boundaries, constraints and a workable target design, then shape the inputs and guardrails for prompt-assisted delivery (inventories, templates, validation steps and approval gates). Use the inventory as structured context for AI-assisted scaffolding, so standard artefacts can be drafted quickly while sensitive mapping stays under human control.
Design
Select and consider integration patterns based on latency, coupling, scale and consumer needs, then apply reusable templates and prompt-assisted build workflows to standardise delivery and accelerate testing while keeping sensitive requirements under human control.
Scaffold
Scaffold the build through governed, tool-assisted delivery with scoped access, human approval, auditability, controlled data boundaries and stage gates. AI drafts standard scaffolds and artefacts via approved tools; consultants validate, complete sensitive mappings and promote into test.
Approved tools only, least-privilege access, and allowlisted connectors by environment.
Structured inventories, constraints and canonical inputs shape what gets drafted, not free-form prompting.
AI proposes; consultants review and approve based on risk, keeping sensitive mapping and requirements human-handled.
Decision context, artefact lineage and reviewable change sets across iterations, with clear provenance of inputs and approvals.
Adoption, cost and stability checkpoints plus readiness gates before scaling the approach across teams and waves.
Validate
Define success criteria up front, then validate through repeatable test assets (mocks, harnesses, Postman collections/scripts) and contract checks so edge cases surface early. Treat prompts and templates as versioned artefacts with review gates, and shape the platform approach around reliability, supportability and governance, including regulated constraints such as data residency, operational controls and auditability.
Cutover & operate
Drive go-live readiness through repeatable evidence from build and validation, supporting UAT and production readiness without relying on fragile one-off scripting. Keep maintainability and support in mind so solutions can be handed over cleanly into steady-state operations. Operate with observability patterns, safe change and reprocessing, reusing the same mock services and Postman assets to support triage and ongoing reliability.
Platforms and tools used across enterprise delivery and side builds
Highlights
A mix of production platforms, applied experiments and concept explorations used to solve real operational problems, test new workflows and expand engineering capability across web, mobile and automation tooling.
Wickham Wave
Bespoke club operations app used by 50+ members to manage attendance, team assignment, scheduling, billing and role-based workflows across web, iOS and Android.
50+ active members weekly
Billing admin reduced to near-zero. Gamification driving attendance streaks and friendly competition.
Attendance, scheduling & teams
Waitlists, auto-promotion, recurring events, calendar sync and tactical auto assign teams.
Automated health checks
Scheduled monitoring pipelines with safe retries and at-a-glance system status.
Stripe-powered billing
Checkout, portal and webhooks with flexible pricing tiers.
Role-based access control
Webhook verification, security headers and edge-level CSP.
Awards, streaks & badges
Milestone tracking with featured profile badges and attendance competition.
Experiments archive
Nibbles
AI-assisted meal planning and inventory workflows for real household use.
A prototype exploring how vision + natural-language search can make meal planning and inventory tracking genuinely useful. Built to test interaction design, canonicalisation, and full-stack delivery on an edge platform rather than present a finished product. Includes vision-based capture and LLM-assisted enrichment to turn unstructured inputs into reliable, searchable data.