Engineering precision
Production-grade pipelines with lineage, quality assertions, resilient scheduling, version control and clear operational ownership.
Cloud platforms, AI-enabled analytics, automation and product delivery in environments where security, auditability and operational confidence are non-negotiable.
I operate across engineering, analytics, programme delivery and senior stakeholder engagement. The common thread is end-to-end ownership: frame the decision, establish the controls, build the data product, deploy it securely and leave behind something that can be operated, audited and extended.
Production-grade pipelines with lineage, quality assertions, resilient scheduling, version control and clear operational ownership.
Access controls, audit trails, evidence and exception handling designed into delivery—not added after the platform is built.
NLP, ML and LLM-enabled systems with explainability, uncertainty communication and a deliberate route from experimentation to production.
Delivery anchored to cycle time, cost avoidance, adoption, regulatory assurance and decisions that senior stakeholders can act on.
An 11-year legal-technology product suite focused on reducing the time between receiving a case file and reaching the authorities that matter.
The product combines structured legal knowledge, automated reading and classification, specialist AI routing and traceable authority mapping. The demonstration follows the complete flow from matter ingestion to verified, issue-linked authority.
Delivery is treated as one connected chain: framing, planning, sourcing, engineering, assurance, insight, stakeholder alignment and operational embedding.
The technology changes by client; the control discipline does not. Each stage is designed to leave traceable evidence, clear ownership and a route into stable operation.
Representative work across financial services, energy, media and complex programmes, where accuracy, auditability and stakeholder confidence matter as much as technical performance.

End-to-end NLP pipeline over 800,000+ digital customer interactions, including classification, sensitive-language detection and governance-aligned insight for conduct risk and customer outcomes.
Python automation, statistical quality controls, exception handling and full audit trail applied to a high-stakes reporting process under regulatory scrutiny.
Production ingestion and transformation pipelines with lineage, scheduled execution, quality assertions and documented ownership, designed for clean handover and multi-team use.
Secure internal MI and analytics capability with governance-aligned access controls, resilient scheduling and management dashboards for a large distributed workforce.
NLP and feature engineering across structured and unstructured programme data, with explainability and uncertainty designed into the outputs used by decision-makers.
Automated cloud analytics and real-time dashboards for a national broadcaster, supported by custom geospatial clustering for strategic planning.
Sector-diverse experience across financial services, energy, media, defence, nuclear and legal technology, with a consistent focus on trusted analytical products and controlled operational delivery.
Comfortable moving from architecture and code to governance, stakeholder engagement improvement and operational handover without losing the thread between them.
Lakehouse and analytics-platform delivery, ingestion, transformation, orchestration, testing and operationalisation.
BI, management information, regulatory reporting and stakeholder-ready analytical products with clear definitions.
Classification, text analytics, knowledge graphs and responsible LLM / RAG patterns designed for traceability and practical use.
Controls, evidence, access governance, exception handling, audit trails, quality assurance and controlled release.
Cross-functional leadership from requirements and risk through execution, senior stakeholder communication and handover.
Environment-aware deployment, monitoring, documentation, support models and benefit tracking so delivery survives handover.
Animated force-directed skills graph, linking industries to capability domains and practical tools. Hover to trace relationships, or drag a node to explore how the network reorganises.
An electronic-engineering background, international R&D experience and formal delivery training underpin a practical systems approach to data and AI.
Final-year turbo-coding project in MATLAB / Simulink, awarded a first-class project grade.
Measurement and test-system programming using PCI hardware and C++ tooling, with ISO-aligned procedures.
Formal PRINCE2 certification plus continuing development in LLM engineering, RAG architecture and responsible AI.