Achievements

• AI & LLM platforms: Delivered a production-grade RAG capability for UK government document understanding using FastAPI, LangChain and vector retrieval, including evaluation and security-conscious prompt controls. (Case study · Service)
• Cloud & backend engineering: Delivered robust APIs and integration services (FastAPI/Django patterns), supported by CI/CD, structured testing, authentication and observability practices suitable for regulated environments. (Service)
• Cloud & backend engineering (security/controls): Developed encryption/decryption libraries for operational use in tier-1 financial services — delivered as a Java JAR module, a native C shared library, and language bindings (Perl XS module and JNI integration) to support multiple runtime environments. (Cloud & backend engineering)
• HPC & scientific automation: Built automation and reproducible workflows for HPC/scientific environments (schedulers, containers, monitoring, profiling), improving iteration speed and operational reliability for compute-intensive workloads. (Case study · Service)
• Research & innovation programme delivery: Initiated and led a European consortium (companies + universities) for a distributed compute programme for CFD; the consortium was awarded €1.1m in 2004, with Symban providing technical and programme leadership. (Research · Case study)
• Distributed & large-scale systems architecture: Designed and delivered automation/microservices frameworks supporting large estates in global banking environments, improving reliability and reducing manual operational load. (Case study · Service)
• Distributed & large-scale systems architecture (monitoring at scale): Re-architected and upgraded a distributed monitoring system using SNMP and multi-daemon design, producing near real-time operational status across business-critical infrastructure from multiple global sites (New York, London, Singapore). (Distributed & large-scale systems architecture)
• Distributed & large-scale systems architecture (directory services observability): Designed and implemented a scalable event monitoring and log-archiving system for LDAP server estates, supporting operational diagnostics and audit-friendly traceability in regulated environments. (Distributed & large-scale systems architecture)
• Technical proposal & bid leadership: Led technical proposal development for complex, multi-partner initiatives—aligning technical scope with delivery constraints, governance, and adoption pathways in funded/regulated contexts. (Research · Service)
• Innovation-to-production transition: Supported teams moving prototypes and research code into production-grade services by introducing modular architecture, automated validation/testing, containerised deployment and operational controls. (Service)
• Startup & early-stage technology advisory: Delivered pragmatic platform and architecture support for early-stage technology environments, balancing speed with maintainability and clear technical decision-making. (Case study · Service)
• Programme & delivery leadership: Led delivery in high-trust environments—setting cadence, governance and assurance, and coordinating stakeholders across teams, ensuring outcomes under real constraints. (Service)
• Programme & delivery leadership (developer platform at scale): Delivered development and release tooling used by 1,000+ developers in a major investment bank environment, improving consistency across build, packaging and deployment workflows. (Programme & delivery leadership · Cloud & backend engineering)
• £500k commercial impact (HPC/CFD): Developed and parallelised a CFD solver generating £500,000 revenue within 12 months; awarded a UK DTI Smart Award. (HPC & scientific automation · Research)
• National platform optimisation (Cloud/backend): Reduced ETL runtime from 10+ hours to under 5 hours for a national housing data platform through profiling, targeted parallelisation and improved database concurrency. (Case study · Cloud & backend engineering)

Achievements are intentionally non-confidential. Where appropriate, outcomes are stated with defensible metrics, while sensitive operational details are excluded.