Focus
AI & Data Platform Architecture
Designing enterprise AI and data systems with the foundations needed for scalable analytics, machine learning, and AI-native applications.
Machine Learning Engineer, PhD Researcher, and Advisor
I work across the full AI stack, from enterprise data and platform architecture, to model behaviour, structured context, and research-led system design, helping turn ambitious AI capabilities into scalable, real-world systems.
Overview
I’m a Machine Learning Engineer and PhD researcher focused on the design of AI systems for complex, data-rich environments. My work combines enterprise-scale architecture with deep technical research in large language models, graph-based reasoning, and machine-understandable world models.
I currently work on enterprise data and AI platform design in industry while pursuing a PhD exploring how LLMs can reason more effectively over structured systems.
What I Do
Enterprise AI systems, knowledge graphs, and research into reasoning over structured environments.
Focus
Designing enterprise AI and data systems with the foundations needed for scalable analytics, machine learning, and AI-native applications.
Focus
Using graph-based and semantic representations to make complex systems more structured, interoperable, and useful for intelligent applications.
Focus
Applying deep research in LLM reasoning, world models, and structured representations to the design of more capable and reliable AI systems.
Advisory
I advise selectively on end-to-end AI systems, from data and platform foundations through to knowledge graphs, model behaviour, and production-ready reasoning applications.
Focus Areas
Shaping the technical foundation of an AI product across data, context, model, and application architecture.
Platform strategy for fragmented enterprise data environments.
Research
Alongside industry work, my PhD examines how multi-agent systems and graph representations can support more reliable reasoning over structured environments.
Current Themes
Get in touch
For advisory, collaboration, speaking, or general enquiries, email is the best place to start.
Location
London, UK
Availability
Available for selective conversations, collaboration, and advisory opportunities.