Enterprise Agentic AI Architecture
Agent runtime architecture: governed semantic analytics, retrieval, MCP tool access, evaluation, authorization and human approval.
View project →Enterprise architecture · Hands-on engineering
Enterprise Data, Cloud & AI Architecture
I design and modernize enterprise data platforms, cloud systems and agentic AI solutions—connecting architecture direction with hands-on engineering, governance and production operations.
AWSSnowflakeDatabricksData EngineeringAgentic AI & MCPPlatform Engineering
Reference architecture
From enterprise data to trusted intelligence
A conceptual pattern illustrating the disciplines I connect. This is not presented as a diagram of a specific client production deployment.
Enterprise Data & AI — Reference Pattern
Visual overview only. Select a project below to read about its own technical architecture.
Enterprise SourcesApplications · APIs · Events · Databases
Data FoundationIngestion · Lakehouse · Transformations
Trusted IntelligenceIdentity · Gold · Semantic Models
AI & ApplicationsAnalytics · Search · Agents · MCP
Identity & Security · Governance · Observability · Evaluation · FinOps
Selected work
Enterprise Projects
Sanitized architecture stories from professional work, focused on engineering patterns, design decisions and production considerations.
Metadata-Driven Orchestration Framework
Reusable Airflow/MWAA pipeline engineering with YAML/SQL specifications, Python operators, validation, CI/CD and recovery controls.
View project →Enterprise Data Platform Modernization
AWS, Snowflake and Databricks modernization, with layered processing, Delta/Iceberg trade-offs, semantic consumption and FinOps.
View project →Governed Enterprise Data & Agentic AI Platform
Detailed end-to-end case study: source ingestion, Snowflake layers, enterprise identity, trusted Gold, governance and controlled agent access.
View project →Hands-on validation
Architecture Lab
Hands-on technical explorations and reference patterns. The AI Operations Agent links to its full technical article; other concepts remain labeled as overviews until implementations are published.
Enterprise AI Operations Agent
Detailed technical article on evidence-first incident investigation, operational telemetry, LangGraph/Bedrock reasoning, and governed remediation. Read the full article from this Lab entry.
Read technical article →Governed MCP Tool Layer
A reference pattern for exposing enterprise systems to AI agents through narrow, discoverable and policy-controlled tools rather than unrestricted application access.
Overview only · Detailed page not suppliedAI Evaluation & Cost Engineering
A practical evaluation pattern for measuring diagnosis quality, unsupported claims, human overrides, latency, token usage and LLM cost before scaling an agent workflow.
Overview only · Detailed page not suppliedTechnical thinking
Technical Insights
Long-form technical articles on data platform architecture and AI-assisted engineering. The Enterprise AI Operations Agent article is linked from Architecture Lab to avoid duplication.
Building a Petabyte-Scale Enterprise Data & AI Platform
An eight-step governed architecture spanning ingestion, open data, Snowflake, Databricks, trusted data products, semantic intelligence, RAG, agentic applications and enterprise operations.
Read article →AI Coding Assistants: From Developer Tools to Agentic Engineering Platforms
A practical architecture view of AWS Kiro, Claude Code and Codex through enterprise modernization, MCP, engineering context, execution, governance and production guardrails.
Read article →Capabilities
Core Expertise
A compact view of the architecture and engineering disciplines reflected in the projects and articles above.
Modern Data Platforms
Snowflake · Databricks · Data modeling · Ingestion · CDC · Lakehouse · Semantic layers
Cloud & Platform Engineering
AWS · Infrastructure automation · CI/CD · Airflow / MWAA · Kubernetes · Observability
Agentic AI & Engineering
LLM applications · RAG · MCP · AI agents · Spec-driven development · Evaluation
Governance & Production Trust
Identity · Access controls · Data governance · Security · FinOps · Operational reliability
About & contact
Shaping the intelligent enterprise.
From enterprise strategy to production-ready solutions.
- 20+ Years
- Enterprise technology & engineering
- Architecture + Build
- Strategy backed by implementation
- Data · Cloud · AI
- Modernization through production
I lead enterprise architecture and modernization across data, cloud, and technology environments. I combine strategic leadership with hands-on, forward-deployed engineering. Working directly with teams, I turn complex business challenges into scalable, production-ready solutions.
My current focus spans enterprise agentic AI, AI-ready data platforms, semantic intelligence, RAG, and MCP—grounded in trusted data, security, governance, and operational discipline.
I partner with business and engineering teams to shape architecture, establish reusable frameworks, and guide delivery from design through implementation and production readiness.