Enterprise architect building production AI systems, cloud integration, and enterprise workflow automation for regulated operating environments.

My background is in the infrastructure layer where AI, CRM, ERP, and workflow systems converge. The hard problems are not at the demo level — they are in the operational seams: compliance-aware knowledge retrieval, cross-channel context continuity, bi-directional system-of-record synchronisation, and governed AI handoffs.

• Compliance-aware RAG architecture for regulated enterprise environments (FERPA, HIPAA, GDPR, GLBA)
• Enterprise integration patterns across CRM and ERP platforms
• Governed agentic AI workflows with audit and policy requirements
• Multi-agent orchestration across multi-cloud and hybrid environments

Reference patterns for FERPA/HIPAA/GDPR-compliant retrieval-augmented workflows, context continuity, and governed AI integration. Works across cloud providers and enterprise platforms — not tied to any specific vendor stack.

pip install enterprise-rag-patterns

Policy enforcement, PII detection, consent management, and data lineage tracking for AI agents operating under FERPA, HIPAA, GDPR, CCPA, GLBA, and SOC 2. Integrates with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, and Haystack.

pip install regulated-ai-governance

Reliable enterprise integration patterns: event-driven workflows, system-of-record synchronisation, circuit breaker, saga orchestration, transactional outbox, CDC, and Kafka envelope handling.

pip install integration-automation-patterns

• FERPA Compliance in RAG Pipelines: Five Rules Your Enterprise System Probably Breaks
• Implementation Note 02 — FERPA-Compliant RAG: Identity-Scoped Retrieval in Production
• Implementation Note 03 — Context Assembly for Multi-Source Enterprise RAG

• FERPA RAG Compliance Demo — live filtering demonstration on HuggingFace Spaces

• Production RAG deployment with compliance-aware knowledge retrieval across regulated environments
• Enterprise CRM and ERP integration across multiple platforms and generations
• Multi-cloud architecture: AWS, GCP, Azure, OCI
• AI/ML: LLM orchestration, multi-agent systems, agentic workflow governance
• Cloud-native integration design for regulated and operationally sensitive environments

Production AI systems that stay inside policy boundaries. Enterprise integration that survives operational complexity. Patterns that are platform-agnostic and adoptable across vendor stacks, cloud environments, and regulatory contexts.