Exploring enterprise architecture, formal modeling methods (DEMODEMO (Design & Engineering Methodology for Organisations) is a research-based approach that models the essential structure of business operations—what actually happens, separate from how it's implemented., ORMORM (Object-Role Modeling) is a conceptual modeling method, focusing on facts and business rules rather than implementation details.), and semantic foundations for intelligent systems
I work at the intersection of formal modeling, semantic systems, and practical application. My background includes over a decade in Banking as a Service and Ad Tech, where I've applied enterprise architecture and integration methodologies to complex business problems.
This site documents my research and explorations in conceptual modeling (DEMODEMO (Design & Engineering Methodology for Organisations) is a research-based approach that models the essential structure of business operations—what actually happens, separate from how it's implemented., ORMORM (Object-Role Modeling) is a conceptual modeling method, focusing on facts and business rules rather than implementation details.), knowledge representation, and the integration of symbolic and learning-based approaches to AI. I build tools and demonstrations to explore how formal methods can create more explainable, maintainable intelligent systems.
This demonstration application was built using the ORM Toolkit with AI code assistance. It shows how formal conceptual models drive intelligent decision systems with explainable logic and semantic validation—the same approach I apply to API integration projects.
Web-based conceptual modeling tool for Object-Role Modeling. Features AI-powered assistance for model creation and validation.
Note: This is a proof-of-concept. Access as guest (5 AI requests/hour) or with Google sign-in (unlimited). Publishing service currently disabled.
Design precise, formal models of business domains using DEMO and ORM methodologies to create foundations for intelligent systems.
Develop semantic models and ontologies that enable reasoning, explainability, and AI-assisted decision-making in complex domains.
Design and implement complex API integrations for Banking as a Service, Ad Tech, and multi-provider systems using systematic methodology.
Integrate symbolic logic with learning systems to create explainable and robust neuro-symbolic AI applications.
Build working POCs using AI-assisted development and formal modeling to validate feasibility and demonstrate technical approach.
Lead implementation teams through complex integration projects with systematic methodology and clear architectural guidance.
Interested in discussing knowledge modeling, semantic systems, or potential collaboration? Feel free to reach out.