Building intelligent systems for government, fintech, and healthcare. 15+ years of solving complex problems with Python, data pipelines, and machine learning.
Specialized in AI/ML, data engineering, and high-performance systems
High-impact work across government, healthcare, and enterprise
Created an ETL pipeline linking legacy mainframe data to modern AWS infrastructure, visualized in Azure using Medallion lakehouse architecture. Transformed decades of property data into actionable insights for government operations.
Unified disparate data sources across NHS Wales to create an intelligent vaccine eligibility system. Delivered longitudinal data insights enabling efficient seasonal vaccine distribution and improved public health outcomes.
Built and trained a CNN model achieving 98% accuracy in email categorization for a merchant bank. Integrated with greenfield C# case management system using CQRS patterns, significantly improving operational efficiency.
Architected and deployed the UK's first High Performance Computing Cloud for academia using Azure HPC infrastructure. Created a budget-aware task scheduler enabling AI research including backpropagation and protein folding workloads.
Developed high-availability APIs processing data from 20M+ individuals across the UK for Census 2021. Scaled database architecture to handle massive concurrent load while maintaining data integrity and security.
Developed a comprehensive Data Loss Prevention solution in conjunction with a government security agency. Built data visualization system with Node.js API and frontend using D3.js and Snap.svg, enabling real-time monitoring and analysis of sensitive data flows.
Built high-availability API serving broadcast TV adverts to 11M devices at 250K requests/second with sub-100ms latency. Partnered with major broadcasters including ITV, Nielsen, and Pro7 for dynamic content delivery.
Offensive security work across government and enterprise systems
Conducted comprehensive load-testing and fuzz-testing of government systems for Census 2021. Stress-tested APIs handling data from 20M+ individuals to identify vulnerabilities and ensure system resilience under extreme conditions.
Executed multiple physical security penetration tests for high-security environments. Projects remain confidential due to NDA requirements, involving comprehensive assessment of physical access controls, social engineering vectors, and facility security measures.
Led red-teaming engagements for multiple small businesses in the healthcare sector. Identified critical vulnerabilities in patient data systems, performed adversary simulation exercises, and delivered actionable security improvements to protect sensitive medical information.
Available for consulting projects in AI/ML, data engineering, security, and system architecture