CLO · Chief Edge Intelligence Officer · CTO

I run the full stack —
grey-space power to AI governance.

Technology executive operating across AI, cloud and data-centre infrastructure, with the governance and IP fluency to make it defensible. Command spans IaaS, PaaS, SaaS and AIaaS, backed by hands-on architecture and 41+ applied standards.

See the Mandates → Frameworks Applied LinkedIn
Executive Footprint
3
Concurrent Mandates
20+
Years, Tech & Law
Multi-Million
Dollar Deals Impacted
41+
Frameworks Applied
✓
Governance, applied not just cited

41+ standards in active use — ISO 42001, NIST AI RMF, ISO 27001, TIA-942 and more.

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Work With Me

Services I Offer

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Assessment

AI Governance Assessment

A structured, time-boxed assessment that gives executive leadership a clear, evidence-based picture of where AI is actually being …
Implementation

AI Faculty Development & Managed AI Labs Program

A structured program that gets a university or corporate L&D department from zero to a certified AI curriculum, trained faculty, a…
Managed Service

Sovereign Infrastructure Governance Office

A recurring managed service that gives a regulated organization the compliance, disaster-recovery and sovereignty governance overl…
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Self-employed · Executive Operations, Client Success & Business Advisory

The operating layer behind every engagement — six areas of focus, run day to day.

See How It Runs →
Currently Commanding

Three Concurrent Executive Mandates

Each of these is a full executive seat, not a side commitment — held concurrently because the underlying judgment is the same across all three: reading a technical environment, understanding its legal and commercial exposure, and making calls a Board can stand behind. This is a portfolio-executive model: a business gets senior, cross-functional executive ownership on a clearly defined mandate, without the 12-18 month search and full-time cost of hiring that judgment in-house — and holding all three simultaneously means expertise from one sector actively sharpens the other two, instead of sitting in a silo.

CLO

Chief Legal Officer

Client

Lead legal and commercial structuring for data-centre, cloud infrastructure, managed-services and systems-integration partnerships, translating technical delivery models into enforceable contracts.

CEIO

Chief Edge Intelligence Officer

Client

Define strategy for transforming data-centre infrastructure from conventional colocation into an AI-, cloud- and edge-intelligence services platform.

CTO

Chief Technology Officer

Client

Architect technology strategy for AI education, cloud laboratories, faculty enablement and AI-enabled curriculum delivery.

Why Businesses Engage This Way
  • Senior executive judgment on a defined mandate, without a 12-18 month search or full-time-hire cost
  • A named, accountable executive — not a rotating advisory team
  • Scope and cadence defined upfront, so the relationship stays predictable, not open-ended
  • Cross-sector pattern recognition a single-industry internal hire wouldn't bring
Why I'm Qualified to Hold Them
  • 20+ years operating across technology and law, not one or the other
  • Multi-million-dollar deals personally impacted through legal, technical and commercial judgment
  • 41+ governance frameworks applied in active practice, not just studied
  • Licensed Advocate and hands-on technology executive — legal and technical judgment sit in the same person
How Engagements Actually Run

The Operating Layer

Full Breakdown →
01

Executive Advisory Support

From first conversation to final deliverable — nothing runs on autopilot.
02

AI & Digital Transformation Enablement

Adoption fails on governance and ownership more often than on the technology itself.
03

Business Development & Partnerships

Relationships are qualified and built deliberately, not accumulated by accident.
04

Client Success & Programme Management

Someone is actually watching the milestones, not just reporting on them after they slip.
05

Research & Market Intelligence

Strategic decisions are only as good as the research feeding them.
06

Commercial Operations

The unglamorous infrastructure that makes an advisory practice actually run.
Industries Served
Artificial Intelligence Technology Higher Education Healthcare Financial Services Manufacturing Professional Services Public Sector Data Centers & Cloud Infrastructure
Decision Map

The Stack I Hold Command Across

Grey space → white space
Power, cooling, racks and GPU infrastructure — from utility power and UPS through to server-floor design, capacity planning and physical security.
 IaaS → PaaS
Compute, storage, network and virtualization design, plus the reusable platform layer — databases, APIs and deployment environments applications run on.
 DevOps / MLOps
CI/CD, release automation and infrastructure provisioning connected to model deployment, RAG pipelines and AI-agent operations — velocity without losing reliability.
 SaaS / AIaaS
Multi-tenant application architecture, LLM inference and RAG systems built from the ground up — not just administered — through to commercialization.
 Governance
AI risk, IP and cybersecurity engineered into the stack from day one — accountability, data governance, human oversight and privacy by design.
 Business
GTM, pricing and packaging, PESTEL risk intelligence and program delivery — connecting the technical stack to enterprise decision-making.
SaltStack Arduino IDE Apache Airflow Astro OVHcloud Bitbucket Spinnaker APScheduler Terraform Slack FreeSWITCH chan_dongle Stripe Linear LiteLLM Stability AI TeamCity OpenTofu SQLAlchemy Apache Camel Azure Synapse Mixpanel Ollama Ceph Nutanix Azure OpenAI ArgoCD Chef Radix UI LightGBM Django Fivetran Red Hat OpenShift Jira PyTorch Grafana Milvus Apache ActiveMQ ONNX Bootstrap Oracle Cloud Prefect Kong Jaeger Seldon Core Oracle Database Apache Cassandra Akamai LaunchDarkly CrowdStrike Celery React Native OpenAPI / REST Segment GitHub MLflow OpenStack Notion Apache Pulsar Redis Vector Search SQLite GitLab CI/CD LangChain TimescaleDB JAX Databricks NVIDIA Node.js Rust / Actix Vue.js Zendesk Airbyte Meta LLaMA CouchDB Elasticsearch dbt LangGraph Apache Flink Microsoft Azure FAISS Anthropic Go / Gin Groq CircleCI XGBoost Apache Hive AWS ECR FastAPI Pinecone containerd AWS Bedrock Netlify oVirt Delta Lake GitHub Actions New Relic Confluence websockets Amazon DynamoDB Python Feast Figma OpenTelemetry Redis Streams Packer Palo Alto Networks Drone CI PyAudio Swift / SwiftUI ZenML Dynatrace Intel Azure App Service Nginx Storybook Sidekiq MySQL Ray Supermicro Fly.io Remix HashiCorp Vault Piper TTS Microsoft Hyper-V Puppet Kotlin / Compose ChromaDB Google App Engine PagerDuty LlamaIndex Apache Spark Ansible Flask SIMCom A7672S Snowflake NestJS Crossplane Couchbase Spring Boot Dremio OpenCV Cloudflare Pages HashiCorp Nomad spaCy Axios SIP BigQuery Hetzner Samsung Podman Haystack AWS Redshift gRPC Seagate Let's Encrypt Flux Tekton HubSpot ASP.NET Core Flutter AWS EventBridge vLLM Keycloak Twilio Laravel GraphQL Chakra UI xAI / Grok InfluxDB Postman BentoML PySerial Sentry Microsoft SQL Server Cilium Amazon Web Services Backblaze B2 Rancher Kibana Linode / Akamai DigitalOcean Western Digital PuTTY Mistral AI Ruby on Rails silero-vad Jenkins CrewAI ESP32 Whisper AWS Elastic Beanstalk DVC Prometheus ClickHouse Semantic Kernel Material UI Asterisk Docker AWS CDK Kubeflow Apache Iceberg Nuxt.js Buildkite Next.js VMware vSphere Heroku pgvector Ionic Vite OpenAI SendGrid Dagster Helm Framer Motion XCP-ng AWS CloudFront Vercel Scikit-learn WebSocket Okta Auth0 Traefik Cisco Consul Firebase Google Cloud Storage WireGuard Supabase Intercom Fastly MuleSoft ClearML Keras Railway Amazon S3 HPE PostgreSQL Harbor Proxmox VE Neo4j GlusterFS Linkerd Weaviate Namecheap Google Cloud Platform Qdrant httpx Express.js Ant Design Weights & Biases AutoGen PlanetScale GitLab CE Cloudflare RabbitMQ shadcn/ui Dell Technologies Headless UI Render Apache Kafka AWS API Gateway Tailwind CSS React Dify Angular CockroachDB Kubernetes Pulumi SIMCom A7670C Loki Raspberry Pi MongoDB Looker NATS MinIO Datadog Zustand Istio Google Gemini Amplitude Travis CI Redis Vultr Azure Blob Storage MariaDB AMD TensorFlow Envoy HAProxy Hugging Face KVM Apigee IBM Cloud Cohere SvelteKit Swagger / OpenAPI WebRTC SaltStack Arduino IDE Apache Airflow Astro OVHcloud Bitbucket Spinnaker APScheduler Terraform Slack FreeSWITCH chan_dongle Stripe Linear LiteLLM Stability AI TeamCity OpenTofu SQLAlchemy Apache Camel Azure Synapse Mixpanel Ollama Ceph Nutanix Azure OpenAI ArgoCD Chef Radix UI LightGBM Django Fivetran Red Hat OpenShift Jira PyTorch Grafana Milvus Apache ActiveMQ ONNX Bootstrap Oracle Cloud Prefect Kong Jaeger Seldon Core Oracle Database Apache Cassandra Akamai LaunchDarkly CrowdStrike Celery React Native OpenAPI / REST Segment GitHub MLflow OpenStack Notion Apache Pulsar Redis Vector Search SQLite GitLab CI/CD LangChain TimescaleDB JAX Databricks NVIDIA Node.js Rust / Actix Vue.js Zendesk Airbyte Meta LLaMA CouchDB Elasticsearch dbt LangGraph Apache Flink Microsoft Azure FAISS Anthropic Go / Gin Groq CircleCI XGBoost Apache Hive AWS ECR FastAPI Pinecone containerd AWS Bedrock Netlify oVirt Delta Lake GitHub Actions New Relic Confluence websockets Amazon DynamoDB Python Feast Figma OpenTelemetry Redis Streams Packer Palo Alto Networks Drone CI PyAudio Swift / SwiftUI ZenML Dynatrace Intel Azure App Service Nginx Storybook Sidekiq MySQL Ray Supermicro Fly.io Remix HashiCorp Vault Piper TTS Microsoft Hyper-V Puppet Kotlin / Compose ChromaDB Google App Engine PagerDuty LlamaIndex Apache Spark Ansible Flask SIMCom A7672S Snowflake NestJS Crossplane Couchbase Spring Boot Dremio OpenCV Cloudflare Pages HashiCorp Nomad spaCy Axios SIP BigQuery Hetzner Samsung Podman Haystack AWS Redshift gRPC Seagate Let's Encrypt Flux Tekton HubSpot ASP.NET Core Flutter AWS EventBridge vLLM Keycloak Twilio Laravel GraphQL Chakra UI xAI / Grok InfluxDB Postman BentoML PySerial Sentry Microsoft SQL Server Cilium Amazon Web Services Backblaze B2 Rancher Kibana Linode / Akamai DigitalOcean Western Digital PuTTY Mistral AI Ruby on Rails silero-vad Jenkins CrewAI ESP32 Whisper AWS Elastic Beanstalk DVC Prometheus ClickHouse Semantic Kernel Material UI Asterisk Docker AWS CDK Kubeflow Apache Iceberg Nuxt.js Buildkite Next.js VMware vSphere Heroku pgvector Ionic Vite OpenAI SendGrid Dagster Helm Framer Motion XCP-ng AWS CloudFront Vercel Scikit-learn WebSocket Okta Auth0 Traefik Cisco Consul Firebase Google Cloud Storage WireGuard Supabase Intercom Fastly MuleSoft ClearML Keras Railway Amazon S3 HPE PostgreSQL Harbor Proxmox VE Neo4j GlusterFS Linkerd Weaviate Namecheap Google Cloud Platform Qdrant httpx Express.js Ant Design Weights & Biases AutoGen PlanetScale GitLab CE Cloudflare RabbitMQ shadcn/ui Dell Technologies Headless UI Render Apache Kafka AWS API Gateway Tailwind CSS React Dify Angular CockroachDB Kubernetes Pulumi SIMCom A7670C Loki Raspberry Pi MongoDB Looker NATS MinIO Datadog Zustand Istio Google Gemini Amplitude Travis CI Redis Vultr Azure Blob Storage MariaDB AMD TensorFlow Envoy HAProxy Hugging Face KVM Apigee IBM Cloud Cohere SvelteKit Swagger / OpenAPI WebRTC
See the Full Stack Breakdown →
Core Thesis

Infrastructure without governance is a liability.

The technical layer and the governance layer are engineered together, not bolted on after the fact — that's what makes the infrastructure defensible under audit, not just performant.

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Applied, Not Just Cited

Governance Frameworks in Active Use

View All 41 →
ISO27001 Security
ISO/IEC 27001:2022

Information security management system requirements and Annex A controls.

ISO27701 Privacy
ISO/IEC 27701:2019

Privacy Information Management System — extends ISO 27001 for PII processing.

GDPR Privacy
GDPR (EU) 2016/679

General Data Protection Regulation

ISO42001 AI Governance
ISO/IEC 42001:2023

Artificial intelligence management systems — organizational accountability, AI policies, lifecycle governance, risk management and continuous improvement.

ISO23894 AI Governance
ISO/IEC 23894:2023

AI-specific risk management — identification, assessment, treatment, monitoring and communication of risks arising from AI systems.

NISTAIRMF AI Governance
NIST AI Risk Management Framework

The Govern, Map, Measure and Manage approach for identifying and controlling risks arising from AI systems.

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Standing up AI governance, or need infrastructure strategy that survives an audit?

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