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Case Studies

Selected Engineering Experience

Anonymised examples from genuine engineering work across financial services, enterprise systems and applied AI. Client and organisation names are withheld where confidentiality applies.

Payments / Card Systems Integration

Building business applications around core payment and card-management systems

Situation

A financial-services environment required business applications and operational workflows to interact with core card and payment infrastructure.

Challenge

The surrounding application layer had to coordinate reliably with core systems while respecting business rules, data consistency, security requirements and production failure scenarios.

Contribution
  • integration design
  • API and service implementation
  • backend workflow implementation
  • database integration
  • production troubleshooting
  • deployment support
  • reliability and audit-oriented controls
Capability demonstrated

Enterprise integration, financial systems, transaction-sensitive workflows and production backend engineering.

Secure Enterprise Deployment

Production deployment and troubleshooting in controlled enterprise environments

Situation

A complex enterprise application required deployment, configuration and troubleshooting across controlled infrastructure and database environments.

Contribution
  • IIS and application infrastructure setup
  • application deployment
  • database integration and configuration
  • logging and production diagnostics
  • network and API troubleshooting
  • deployment issue resolution
  • security-aware operational support
Capability demonstrated

Hands-on production ownership beyond application development.

Grounded AI / Knowledge Workflow

Building AI experiences around trusted enterprise knowledge

Situation

Users needed a practical way to query organisational information while preserving evidence, traceability and appropriate fallback when the available knowledge did not support an answer.

Approach
  • retrieval-augmented generation
  • document ingestion
  • grounded responses
  • source citations
  • fallback when evidence is insufficient
  • bilingual retrieval where required
  • controlled user interaction
Capability demonstrated

Production-oriented AI built around evidence and workflow requirements rather than a generic chatbot.

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