I design cloud platforms and agentic AI systems teams can trust.

I combine principal-level AWS and Azure architecture experience with hands-on work in AI agents, controlled tools, evaluation, human oversight, and the platforms that make those systems reliable.

Open to senior and lead roles · Available for focused consulting

15 years in technology From infrastructure operations to cloud architecture. View experience →
Production cloud experience Secure platforms, modernisation and reliable operations. View Project Hafnia →
Hands-on agentic AI Working systems with controlled tools, evaluation and human oversight. Explore CircuitCare →
Selected organisations
Milestone Systems LEGO Carrier Agillic Knowit SimpleSite
Case studies · public work

Selected work

Explore agentic applications, governed platforms, and cloud systems alongside professional architecture work. Each case explains what the system does, where authority sits, and what was actually verified.

Related work: Secure Document Intelligence applies cited extraction, hostile-input handling, confidence thresholds, and human review to document processing. It demonstrates controlled AI automation rather than an autonomous agent.

Professional Case Studies

Architecture in production contexts

Detailed engagements showing the systems, operating models, and outcomes behind the work.

Project Hafnia — Visual AI & Data Insights Platform

Milestone Systems × NVIDIA
Principal Cloud Architect · Copenhagen · Jan 2022 – Oct 2024

Cloud architecture lead for a Milestone × NVIDIA collaboration enabling visual AI model development on annotated, regulation-compliant video data. Owned from concept through production deployment as the primary architecture authority.

Visual AI data platform architectureVideo from on-premises and edge sources is ingested through Kinesis Video Streams into an Amazon S3 landing zone, prepared and annotated, curated into a governed data lake, and used to train models in SageMaker. AWS Organizations, Control Tower, IAM, KMS and CloudWatch form a cross-cutting governance foundation.DATA & AI PIPELINEVideo sourceson-prem + edgeKinesis Videosecure ingestionAmazon S3raw landing zoneAnnotationlabelling workflowsCurated datagoverned lakeSageMakermodel trainingCROSS-CUTTING PLATFORM FOUNDATIONOrganizationsmulti-accountControl TowerguardrailsIAM & KMSaccess · encryptionCloudWatchlogging · cost
Platform shape. The pipeline is the visible part; the governance layer beneath it is what made compliant video data usable for model training.
  • Enterprise AI/data platform on AWS and Azure for building, training and operationalising visual AI models.
  • Multi-account AWS foundation — Organizations, Control Tower, centralised logging and cost governance.
  • Secure hybrid integration between on-premises infrastructure and AWS for reliable, controlled data movement.
  • ML enablement via SageMaker and Kinesis Video Streams, plus large-scale ingestion, annotation and training pipelines.
  • AWS partnership initiative contribution involving a forthcoming AWS service planned for public release.
AWSAzureControl TowerSageMakerKinesis Video StreamsData governance

Distribution Centers Hub Platform

LEGO
Senior Cloud Engineer · Billund / Copenhagen · May – Oct 2021

Cloud infrastructure and automation for LEGO's distribution centre platform — Infrastructure as Code, CI/CD and Kubernetes operations, with the emphasis on deployment reliability. In a logistics context a failed release is not an inconvenience; it is pallets not moving.

GitOps delivery pipeline on Amazon EKSCommits to a Git repository trigger GitHub Actions to build, test and scan a container image which is pushed to a registry. Argo CD syncs the declared state to an Amazon EKS cluster running Helm releases. Terraform provisions the underlying AWS infrastructure and Sysdig with PagerDuty covers monitoring and incident response.GITOPS DELIVERY PIPELINEGit repositoryapplication + IaCGitHub Actionsbuild · test · scanImage registryimmutable tagsArgo CDdeclarative syncAmazon EKSHelm releasesINFRASTRUCTURE FOUNDATIONTerraformVPC · EKS · IAMRDS MySQLmanaged data tierHelmrelease packagingSysdig · PagerDutymonitoring · on-call
Delivery model. Git is the source of truth and Argo CD reconciles toward it, so a deployment becomes a reviewable diff rather than a manual operation.
  • Terraform-managed AWS infrastructure enabling repeatable, reliable environment provisioning.
  • CI/CD with GitHub Actions and Argo CD, cutting manual deployment effort substantially.
  • Containerised workloads on Amazon EKS, packaged and configured with Helm.
  • IAM hardening plus Sysdig and PagerDuty for monitoring and incident response.
AWSAmazon EKSTerraformGitHub ActionsArgo CDHelm

Cloud Modernisation, Migration & Operations

Agillic
Cloud Operations Engineer · Copenhagen · Aug 2019 – May 2021

A full reshaping of the cloud operating model for a production SaaS business — migration, automation, monitoring, security and disaster recovery. The headline saving came from architecture redesign rather than tactical right-sizing, with performance improving at the same time.

Agillic cloud modernisation architectureLegacy on-premises workloads including IBM SPSS Modeler and content delivery were migrated to AWS using Transfer Family and secure streaming, then re-architected onto Lambda, Step Functions, EMR, S3, API Gateway and CloudFront. AWS Organizations, Control Tower, CloudWatch, Grafana and GitLab CI provide governance and operations. The redesign delivered an 85% reduction in operational cost.MIGRATION & COST MODERNISATIONLegacy workloadsSPSS · contentdeliveryMigrationTransfer Familysecure streamingRE-ARCHITECTED ON AWSLambdaevent computeStep FunctionsorchestrationEMRbatch analyticsAmazon S3tiered storageAPI Gatewaymanaged APIsCloudFrontcontent deliveryGOVERNANCE & OPERATIONSOrganizationsmulti-accountControl TowercomplianceCloudWatchcentral monitoringGrafana · GitLab CIdashboards · CI/CD85% lower operational costwhile improving performance and scalability
Migration and redesign. The 85% saving came from re-architecting onto managed and event-driven services, not from trimming instance sizes.
  • 85% reduction in operational cost through AWS architecture redesign, with performance and scalability gains.
  • AWS migrations for business-critical systems including IBM SPSS Modeler and content delivery workloads.
  • Multi-account governance with Organizations and Control Tower for compliance and operational control.
  • Disaster recovery patterns and automated CI/CD delivered via Terraform and GitLab CI.
S3LambdaEMRStep FunctionsCloudFrontControl Tower
Services · How I work

What I'm brought in to do

I work where agentic behavior meets the controls of a real platform: identity, data, tools, evaluation, security, deployment, observability, and accountable human decisions.

Agentic Applications

AI assistants and agents that combine grounded knowledge, memory, and bounded tools with clear authority limits and useful customer or staff workflows.

Agent Evaluation & Human Oversight

Versioned scenarios, deterministic invariants, adversarial checks, citations, confirmation steps, and human review for decisions that require judgment.

Controlled Tools & Business Authority

Narrow tool contracts, identity-aware access, idempotent changes, audit trails, and application rules that remain authoritative when model output is uncertain.

Coding-Agent Workflows

Bounded task definition, context management, implementation review, integration, and evidence-led testing while retaining engineering accountability for the result.

Cloud Architecture & Governance

AWS and Azure target architecture, landing zones, multi-account strategy, identity, networking, security, cost governance, and reviewable architecture decisions.

AI & Data Platforms

Managed AI services, governed knowledge, large-scale ingestion, annotation workflows, data governance, and ML training platforms on AWS.

Platform Engineering & Modernization

Self-service workflows, infrastructure as code, CI/CD, containers, Kubernetes, GitOps, and migration paths that turn architecture into repeatable delivery.

Operational Reliability & Cost

Observability, security, failure isolation, incident response, recovery, and architecture-level cost control for cloud and AI workloads.

About

Cloud architecture depth, applied to agentic systems.

Architecture foundation. I'm a cloud architect based between Copenhagen and London, with principal-level experience designing secure, scalable and cost-efficient platforms across AWS and Azure. That background shapes how I approach AI systems: as software that must be governed, operated, and trusted after the first demonstration.
Current focus. I build agentic applications that use grounded knowledge, memory, and controlled tools while keeping identity, authorization, and business decisions in trusted application code. My public work includes CircuitCare AI Support, a self-service cloud platform, and systems for controlled document intelligence and grounded customer support.
Accountable engineering. I use coding agents through bounded tasks, deliberate context, complete-diff review, integration, and proportionate testing. They increase the ground I can cover; responsibility for architecture decisions and delivered behavior remains with me.
  • Clear decisionsMake trade-offs explicit and reviewable.
  • Operable systemsDesign for the team after handover.
  • Accountable deliveryUse speed without outsourcing judgment.

At a glance

Based
Copenhagen · London
Focus
Cloud architecture · agentic AI · platform engineering
Availability
Senior / lead roles & consulting
Work authorisation
DK & UK — no sponsorship needed
Education
MSc Cloud Computing
Languages
Arabic (native) · English (fluent) · Danish (beginner)
Experience

Career timeline

Fifteen years from infrastructure engineering to principal-level cloud architecture, now forming the operational foundation for my work in agentic AI systems.

Cloud Solutions Architect
Independent ConsultantDenmark & UK
May 2025 — Present

Cloud strategy, solution design, and secure platform delivery across AWS and Azure, with current work extending those disciplines into agentic AI applications, evaluation, controlled tools, and reliable AI platforms.

Principal Cloud Architect
Milestone SystemsCopenhagen
Jan 2022 — Oct 2024

Architecture authority for Project Hafnia, the Milestone × NVIDIA visual AI data platform, taking the collaboration from concept through production deployment.

Cloud Architect Consultant
KnowitCopenhagen
Oct 2021 — Aug 2022

Senior cloud architect supporting the early architecture, design and implementation of Project Hafnia for client Milestone Systems. The dates overlap with the role above because I continued on the same project after moving from consultancy to Milestone directly.

Senior Cloud Engineer
LEGOBillund
May 2021 — Oct 2021

Infrastructure as Code, CI/CD and Kubernetes operations for the Distribution Centers Hub platform, with deployment reliability as the central outcome.

Cloud Operations Engineer
AgillicCopenhagen
Aug 2019 — May 2021

Led AWS modernisation, migration, governance and disaster-recovery work across production SaaS environments, delivering an 85% operational cost reduction.

Earlier career
SimpleSite · King’s College · Sana Technology
2011 — 2019

Built the operating foundation across Windows Server and Linux administration, Active Directory, SharePoint, DNS, infrastructure, backup and disaster recovery, while teaching IT and computing along the way.

Certifications

Verified across both major clouds

Fourteen AWS and Microsoft certifications. Three sit at professional or expert level — the tier that requires demonstrating architecture judgement rather than service knowledge.

The other eleven

Verify every badge on Credly →

Education
MSc, Cloud Computing
Munster Technological University, Ireland
2021
MSc, Computer Science
Università degli Studi di Messina, Italy
2017
Graduate Diploma, Computer Science
Arab Academy for Science, Technology & Maritime Transport, Egypt
2015 – 2017
BSc, Information Systems
High Institute for Computers & Management Information Systems, Egypt
2006 – 2010
Core skills

Technical toolkit

Agentic AI and cloud architecture share the same engineering foundation: clear interfaces, controlled access, repeatable delivery, evidence, and reliable operations.

Cloud & Architecture

AWSAzureLanding zones Multi-account strategySolution architecture Cloud strategyFinOpsCloud migration Networking

Agentic AI & Data

Agentic systemsAmazon Bedrock AgentCore Grounded knowledgeControlled tools MemoryAgent evaluation Human oversightCoding-agent workflows Data governanceSageMaker Kinesis Video Streams

Delivery & Platform

CI/CDPlatform engineeringArgo CD DockerKubernetesAmazon EKSHelm

IaC & Automation

PythonTerraformCloudFormation AWS CDKBicepARM Templates GitHub ActionsGitLab CIAzure DevOps

Security & Governance

IAMEntra IDControl Tower AWS OrganizationsAWS ConfigCloudTrail Security by design

Observability & Operations

CloudWatchGrafanaELK DatadogSysdigOpsgenie Incident response
Contact

Let's talk cloud and agentic AI

Open to senior and lead roles spanning cloud architecture, agentic AI, and platform engineering in Denmark and the United Kingdom, and to focused consulting engagements. No sponsorship required.