Edinburgh, United Kingdom
Software Engineer — Backend & AI/LLM Systems
Software Engineer with over a decade of experience across the full SDLC — architecture, backend systems, deployment and team leadership. First-Class Honours BEng (84.4%) with published research on LLM capabilities for software design pattern identification. My focus is backend engineering and AI/LLM systems: RAG pipelines, multi-agent orchestration and MCP tooling, backed by strong C#/.NET and Java foundations.
Research · Python & LLMs
Three-stage benchmarking framework — LLM-driven code generation, dataset curation and multi-model pattern recognition — evaluating four state-of-the-art LLMs across 1,560 Python snippets and 13 GoF design patterns. Basis for my SSRN publication.
6,240 records · 98.7% accuracy
AI tooling · Python
Research and analysis tooling for AI-powered developer tools — automated evaluation runs, structured result capture and comparison across models.
AI developer-tool research
Open source · Documentation
The most widely used collection of UE4/UE5 modding guides on GitHub, covering packaging, asset patching, mod loaders and reverse-engineering workflows.
574★ on GitHub
C# · Reverse engineering
Randomiser mod for Ghostrunner that reads and rewrites live process memory — pointer chains, pattern scanning and safe runtime patching, with a per-level randomisation engine.
Flagship personal project
C#/.NET (5+ yrs) · Java (10+ yrs) · Python · C++
LangChain · RAG pipelines · Multi-agent orchestration · Model Context Protocol (MCP) · Agentic AI
Spring Boot · ASP.NET MVC · Flask · Laravel · REST APIs · Microservices
AWS · Docker · GitHub Actions
Oracle SQL (certified) · MongoDB · SQLite · SOLID principles · Unit testing · TDD
Evaluating LLM Capabilities and Performance for Software Design Pattern Identification
SSRN Journal · 2026
Read via DOI →Unreal Engine modding is a long-running hobby that led to two part-time gameplay engineering roles on published Steam titles.
Games & modding