AI strategy, enterprise architecture, and applied research leader focused on building governed, production-grade AI systems for regulated industries.
I work at the intersection of:
- Enterprise AI strategy and architecture
- Agentic AI and trustworthy multi-agent systems
- Domain-aligned RAG and semantic data preparation
- Ontology-grounded vocabulary registries
- Privacy-preserving AI and data governance
- Model risk, AI reliability, and compliance automation
- Financial services technology transformation
Recent research includes:
- Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol
- Ontology-Grounded Semantic Vocabulary Registry for Domain-Aligned RAG
- Privacy-preserving systems, hallucination detection, synthetic data, and AI governance
Selected interests:
- Agentic AI operating models
- Semantic routing and ontology-grounded retrieval
- AI governance for regulated enterprises
- Data lineage, model lineage, and MLOps
- Applied AI architecture for financial services
Links: