I’m a Software Engineer with experience building backend services, frontend applications, and AI-enabled workflows in production environments. I currently work at FactSet, where I’ve worked across C#/.NET, C++, TypeScript, Vue, Angular, and modern web migrations, including moving legacy WebView-based systems onto newer technology. More recently, my work has focused on LLM and AI engineering: building RAG-style products over financial data, creating agentic workflows, improving structured outputs with function calling/JSON schemas, and setting up evaluation workflows to measure model performance and reliability. I’ve also worked on reducing AI system costs through prompt and context optimisation, while improving output quality and consistency. What makes me stand out is that I’m not just interested in using AI tools at surface level. I’ve worked on the engineering around them: evals, reliability, cost reduction, structured outputs, automation, and integration into real workflows. I’m comfortable working across the stack, but my strongest interest is in building practical AI systems that are measurable, maintainable, and genuinely useful to users.…I’m a Software Engineer with experience building backend services, frontend applications, and AI-enabled workflows in production environments. I currently work at FactSet, where I’ve worked across C#/.NET, C++, TypeScript, Vue, Angular, and modern web migrations, including moving legacy WebView-based systems onto newer technology. More recently, my work has focused on LLM and AI engineering: building RAG-style products over financial data, creating agentic workflows, improving structured outputs with function calling/JSON schemas, and setting up evaluation workflows to measure model performance and reliability. I’ve also worked on reducing AI system costs through prompt and context optimisation, while improving output quality and consistency. What makes me stand out is that I’m not just interested in using AI tools at surface level. I’ve worked on the engineering around them: evals, reliability, cost reduction, structured outputs, automation, and integration into real workflows. I’m comfortable working across the stack, but my strongest interest is in building practical AI systems that are measurable, maintainable, and genuinely useful to users.WWWW…