SensibleDB is an embedded graph-vector database that lets you build AI applications without sending your data to the cloud. Your documents, your queries, your insights — all on your machine.
Transformed a consultancy-based healthcare analytics platform into a global SaaS provider, growing subscription revenue from 56% to 83% while reducing infrastructure costs by 76%.
Led $30M investor analytics platform modernization for JPMorgan serving 400+ global funds. Zero operational disruptions during migration.
Build AI-powered applications that leverage knowledge graphs and vector search. From agent memory systems to RAG pipelines — we architect solutions that scale.
Privacy-first data systems that work 100% offline. No cloud dependencies, no subscription fees — your data never leaves your infrastructure.
Specialized analytics platforms for property, finance, and healthcare. Deep domain expertise combined with modern data architecture.

Smart Aussie-flavoured real estate analytics engine for market data, rental insights, and investment metrics.
Transform educational content into interactive knowledge graphs. Chat with your study materials and discover connections.
View on GitHub →Production-ready FHIR R4 client for interoperability. Connect EHR systems, patient data exchanges, and healthcare APIs with full HL7 compliance.
View on GitHub →Automated compliance validation for HIPAA, GDPR, SOC 2. Scan codebases for PII, PHI, and security vulnerabilities with actionable reports.
View on GitHub →Explainable AI logging for regulated industries. Full decision traceability, model versioning, and regulatory-ready audit logs.
View on GitHub →Property data API for developers. Australian market data, property valuations, suburb analytics with clean REST endpoints.
View on GitHub →Building SensibleDB — an embedded graph-vector database that bridges the gap between traditional databases and modern AI applications. The vision is simple: give developers and individuals a way to build powerful AI tools without surrendering their data to the cloud.
Previously built data infrastructure at Canvas, JPMorgan, MSCI, and BNP Paribas. Now focused on creating tools that make AI accessible, private, and powerful.