Alex is a technically gifted AI engineer and infrastructure specialist with hands-on experience designing, developing, and maintaining advanced AI applications—particularly Retrieval-Augmented Generation (RAG) systems tailored to complex business use cases.
He integrates large language models (LLMs) from leading providers including OpenAI, Google, and Cloudflare with structured and unstructured data to deliver context-aware, domain-specific solutions that balance performance, scalability, and compliance. His work also extends into extensions and custom AI agents for mass market solutions including Microsoft 365 Copilot, giving him a well-rounded view of enterprise AI implementation.
A graduate of the University of Warwick (BSc Computer Science), Alex brings deep technical proficiency across Python, JavaScript/TypeScript, Java, C, C# and SQL, supported by a strong background in data engineering, automation, and cloud infrastructure. Prior to joining TrueAxis AI Labs, he spent several years at a large Guernsey hedge fund, where he delivered multi-million-pound technology projects, established cost-saving infrastructure strategies, and optimised global data distribution to improve business performance.
Alex’s blend of AI systems engineering and enterprise infrastructure experience enables him to architect and deploy practical, secure, and high-performing AI solutions that drive measurable results. Outside work, he enjoys exploring emerging technologies, and contributing to policy and innovation discussions.