Portfolio

Architecture, program delivery, and applied AI.

Interactive work across cloud, security, network, and telco: working AI solutions, a production-grade reference implementation, and showcases of how I architect solutions, run complex programs, and manage partner ecosystems.

Production-grade reference implementations

Deeper implementations focused on how AI runs in production: backend architecture, agent orchestration, durable state, RAG, governance, observability, evaluation, CI/CD, and containerized deployment.

Security Operations · In progress

Agentic SOC Operations Platform

Challenge: Security teams face more alerts than analysts can investigate.
Solution: An agentic investigation platform comparing single- and multi-agent designs, with retrieval over security runbooks, security-tool integration, policy controls, and human approval before any response.
Value: Faster, consistent investigations, with every response action governed and auditable.

Planned capabilities

Single-agent vs. multi-agent architecture comparison
RAG over security knowledge and runbooks
Security-tool integration
Policy controls and human approval before response actions
Observability and verification of agent decisions
Deployment patterns

Work in progress

Interactive AI solutions

Working multi-agent applications across operations, governance, architecture, security, automation, and professional services.

AI Operations

AI NOC Operator

Challenge: Alarm floods bury the real network incident.
Solution: A multi-agent workflow that correlates alarms into incidents, retrieves runbook guidance (RAG-style retrieval), routes actions through approval gates, creates the ITSM ticket, and tracks outcomes.
Value: Faster triage, consistent incident handling, and lessons captured for the next shift.

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AI Governance

AI Governance Readiness Agents

Challenge: AI use is growing faster than visibility, ownership, and controls.
Solution: Seven agents that turn enterprise evidence into a Shadow AI inventory, ownership map, risk analysis, control mapping, decision gates, and readiness score.
Value: A clear view of the AI estate and a prioritized roadmap leadership can act on.

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Enterprise Architecture

AI Architecture Advisor

Challenge: Discovery findings don’t translate directly into a buildable, fundable design.
Solution: Eight agents that turn discovery inputs into a reference architecture, ADRs, governance controls, a 30/60/90 roadmap, and a TCO/ROI/NPV business case.
Value: Architecture and business case aligned from the start, so decisions move faster.

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Infrastructure Automation

AI-Governed Infrastructure Automation

Challenge: Network and cloud changes are slow to approve and risky to run.
Solution: Six automation scenarios (SD-WAN, multi-cloud networking, OpenStack, VCF, DNS/IPAM, compliance) with CI/CD controls, deterministic policy checks, human approval boundaries, and AI-assisted remediation.
Value: Faster changes with guardrails: AI assists, people approve.

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Security

AI Security Advisor

Challenge: Security gaps across cloud and network are hard to see and harder to prioritize.
Solution: A posture assessment that identifies gaps, ranks remediation by risk, and generates a transformation roadmap.
Value: Security effort focused where the risk is highest.

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Professional Services

AI SOW Orchestrator

Challenge: Turning discovery notes into a scoped, consistent SOW takes days of manual work.
Solution: A multi-agent workflow for discovery analysis, scope validation, and SOW drafting.
Value: Faster, consistent client-ready proposals with fewer scope gaps.

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Practitioner showcases

Interactive projects that show how I architect solutions, lead complex programs, manage partner lifecycles, and govern decisions.

AI Architecture & Delivery

Enterprise AI Architecture-to-Production

Challenge: Enterprise AI initiatives often stall between pilot and production.
Solution: An interactive 6-phase, 22-step method from discovery to recertification, with decision gates, customer-ready templates, and 15 worked scenarios.
Value: A repeatable, governed path from AI idea to a managed production service.

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Technical Program Management

Private Cloud Modernization

Challenge: Large transformations lose control across teams, vendors, and executives.
Solution: A TPM showcase with integrated planning, RAID/RACI, executive governance, delivery controls, and operational readiness.
Value: Predictable delivery and clear accountability from kickoff to closure.

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Partner Ecosystem

Partner Lifecycle Studio

Challenge: Partner investment decisions often lack consistent criteria.
Solution: A lifecycle studio that assesses readiness and recommends whether to invest, enable, scale, recover, or offboard, with KPIs and a business case.
Value: Partner portfolio decisions backed by clear criteria and evidence.

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About these projects: all solutions, showcases, and scenarios use illustrative, non-client data created solely to demonstrate capability. No confidential, proprietary, or customer information is included, and any figures, timelines, and outcomes are examples generated by the tools, not client results or vendor-endorsed guidance. Product names appear only for technical context.

Want to go deeper on any of these?

I’m happy to walk through the architecture, the agent design, and the production trade-offs behind each project.

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