New Zealand-based | Polyglot Programmer | Data and AI Scientist
Building practical AI systems and analytics-driven products, with an emphasis on real-world deployment, decision intelligence and infrastructures.
- WeftLineAI - AI teammates for organizations
- Te Marama AI - Sovereign DataOps and LLMOps infrastructure
- GoalOS - Structured intent graphs for AI agent alignment; a protocol that gives AI tools a shared understanding of what you're trying to achieve
- FailSafe - AI failure intelligence platform; predict, detect, and recover from AI agent failures with structured failure taxonomies
- AgentSpec - Declarative agent behavior specifications; define, document, and enforce what AI agents can and cannot do
Some active project work is maintained in private repositories. Public work and research-oriented projects are listed below.
- Product-minded AI engineering
- Practical deployment over demos
- Data sovereignty and infrastructure-first thinking
- Research ideas translated into usable systems
- CLUSMCDA-R-Package - CLUS-MCDA project extensions and developments in R
- CLUS-MCDA-II - CLUS-MCDA extensions and developments in Python
- Applied AI product development
- Data and LLM engineering infrastructure
- Decision analytics and MCDA methods
- Research-to-production implementation
GitHub Sponsors setup is in progress. If my open-source work is useful to you, please check back soon for sponsorship options.