Capabilities
What follows is an inventory, not a wish list. If a technology is not here, we have not run it in production and will say so rather than learn it on your budget.
Multi-tenant business platforms and bespoke line-of-business applications. Two-level tenant → organisation modelling so a single client can run multiple sites or legal entities under one account.
Schema design for high-volume transactional and reporting workloads, execution-plan-driven performance tuning, index strategy, and data-integrity assurance across schema migrations.
REST services, business-rule layers and integration work across modern and legacy stacks — including .NET estates that need to keep running while new capability is added around them.
Turning recurring manual work — reconciliation, result calculation, operational reporting, anomaly detection — into scheduled, auditable services with outputs your team already knows how to read.
Authentication and authorisation design, RBAC and claims-based models, JWT and refresh-token lifecycles, two-factor authentication, audit logging, and OWASP-based application review as an ongoing activity.
On-premise and hybrid deployment, server and database configuration, release coordination, and hands-on production troubleshooting under real operational deadlines.
Stack inventory
How we engage
A defined system delivered end to end — requirements, data model, application, tests, deployment and handover.
An existing system that is slow, unreliable or no longer trusted. We diagnose against the real workload and fix the causes.
Ongoing ownership of a running system: releases, production support, incremental capability, and someone who answers.
Method
When something breaks in a live system, the sequence is fixed. It is the pattern that resolved recurring reporting discrepancies during active evaluation cycles, and it is the pattern we hold ourselves to.
Establish the fault against real data, not a description of it.
Follow the request through interface, API, procedure and query to the source.
Correct joins, indexes and access paths where the cost is structural.
Fix the business logic itself, at the layer where the rule belongs.
Confirm the output with the stakeholders who depend on the number.
Ship without disrupting work already in progress. Keep the rollback path.
Practice
We use LLM tooling deliberately — for first drafts, debugging, architecture exploration, documentation, test-case generation and code review. Every engineering decision, every line that reaches production, and all testing and deployment remain a named human responsibility.