Representative, anonymised examples of the types of complex engineering work behind my approach.
Featured case study
Modernising a 30-year-old lending platform
A staged modernisation of a business-critical VB6 and .NET Framework platform, led across an engineering and QA group of approximately 15 to 20 people.
The work uses the strangler fig pattern, modern .NET, React, REST APIs, Azure Functions and Azure Service Bus to decouple critical capabilities and move payment processing towards webhook and event-driven workflows.
Evolving a business-critical platform
Working with a large lending platform where reliability, regulatory considerations and years of accumulated business rules make incremental modernisation essential.
Architecture across a SaaS estate
Shaping services, integrations and data flows across multi-tenant systems while balancing new product work with the realities of existing applications.
Engineering delivery and leadership
Leading onshore and offshore development alongside QA, improving ways of working and helping teams make clearer technical decisions under delivery pressure.
Responsible AI-assisted engineering
Exploring and introducing AI development practices that accelerate understanding and repetitive work without removing review, ownership or engineering judgement.
The shape of my experience
My experience sits at the intersection of long-lived enterprise software, modern SaaS delivery and engineering leadership. Much of the work involves evolving systems that cannot simply stop while they are redesigned.
Business-critical lending platforms
For more than a decade I have worked within lending and credit technology spanning origination, account servicing, payments, collections and operational workflows. The engineering challenge is not only functional correctness: changes must account for customer configuration, data integrity, integrations, auditability and continuous service.
Legacy and modern technology together
The estate includes large .NET Framework and Windows applications alongside modern .NET services, React front ends and Azure components. I have worked on approaches that allow these technologies to coexist while capabilities move gradually towards clearer boundaries and more maintainable delivery.
Architecture and integration work
- Multi-tenant configuration and platform services
- Event-driven export and cache architectures
- Payment-provider migrations and webhook processing
- OAuth and API token-validation constraints
- Third-party dialler and digital-service integrations
- SQL Server performance and production diagnostics
- Messaging, background workloads and operational resilience
Delivery and team leadership
I lead across onshore, offshore and QA capability, balancing planned product work with customer commitments, support pressure and technical investment. My approach includes clear workflow, pragmatic estimation, visible risks, coaching and helping product and engineering stakeholders understand the consequences of technical choices.
AI in engineering practice
I actively explore agentic AI, coding assistants and AI-supported analysis. The emphasis is on using these tools to accelerate understanding, repetitive implementation and documentation while maintaining review, testing, security and engineering accountability.
Experience without confidential case studies
The examples here are intentionally anonymised. They demonstrate the types of systems, constraints and decisions I have worked with without presenting employer or customer work as independent consultancy engagements.
