Writing
Notes
Prompt governance in regulated AI environments
How to version, audit, and control prompts in financial and legal systems where every model interaction is a liability. Covers prompt registries, change gates, and evaluation pipelines.
Agentic runtimes: from orchestration to control
Orchestration frameworks give agents capability. Control planes give operators confidence. The gap between them is where production incidents live. A framework for thinking about runtime control in agentic systems.
Vector search in compliance-sensitive retrieval
pgvector and ParadeDB for RAG in financial environments. What changes when retrieval results are evidence, not suggestions — and how to build systems that satisfy both relevance and auditability requirements.
AI governance for financial systems: a practitioner view
What AI governance actually means at the implementation layer — not the policy layer. Covers model risk management, evaluation gates, observability requirements, and the organizational structures that make governance real rather than nominal.
MLOps for high-reliability environments
Kubeflow, ArgoCD, and GitOps patterns for ML pipelines where model failures have downstream consequences. Covers training pipeline design, deployment gating, and rollback mechanisms.