Full Resume

Profile

Hands-on AI Enterprise Solution Architect with D.Sc. in AI, delivering production Azure AI systems from concept to deployment. Deep expertise in Azure AI Foundry, Microsoft Copilot Studio, and AKS GPU infrastructure. Built and deployed multi-agent AI frameworks, LLM orchestration platforms, and enterprise AI solutions for Fortune 500 insurers, government bodies, and global enterprises.

Azure AI Delivery Highlights:

  • Azure AI Foundry: Deployed GPT-4, custom models with Prompt Flow - pivoted to AKS/KAITO for 93% cost reduction
  • Copilot Studio: Built enterprise HR platform for 10,000+ employees with ServiceNow integration
  • Production Metrics: 47,637 requests/hour, 360x speed improvement, $35M+ annual value

Quantified Achievements

47,637

requests/hour

93%

cost reduction

89.3%

HR resolution rate

$35M+

annual value

360x

processing speed

60%

faster deployments

40%

fewer incidents

Azure & Cloud Technical Skills

CategoryTechnologies
Azure AI & MLAzure AI Foundry, Azure ML, Copilot Studio, Prompt Flow, AI Search, Cognitive Services, Custom Model Deployment
Azure ComputeAKS (GPU NC48ads_A100), KAITO Operator, Container Apps, Function Apps, App Service
Azure NetworkingVNets, Private Endpoints, Application Gateway, Front Door, VPN Gateway, NSGs, Azure Firewall
Azure IntegrationService Bus, Event Grid, Logic Apps, API Management, Event Hubs, Azure Functions
Azure DataBlob Storage, Synapse Analytics, Data Factory, Azure SQL, Cosmos DB, Monitor, Log Analytics
Security & GovernanceEntra ID, Key Vault, Defender for Cloud, Azure Policy, RBAC, Managed Identities
AWSEC2, EKS, Lambda, S3, RDS, VPC, Transit Gateway, Direct Connect, Route53, ALB/NLB, IAM, KMS, CloudWatch, GuardDuty, Security Hub
GCP & Multi-CloudGKE, Cloud Run, Vertex AI, Cloud SQL, VPC, IAM — Terraform IaC, GitHub Actions, ArgoCD, GitOps
AI Models & ScriptingLlama 3.x, Mistral, Qwen, Python, Go, Bash, YAML/JSON

Marquee Engagements & Experience

Director & Principal AI Consultant | Samokash Ltd

Apr 2023 - Present

End-to-end Azure AI delivery for Fortune 500 insurers, government bodies, and global enterprises. From whiteboard to production.

ClientIndustryAzure Technologies
Fortune 500 US InsurerLife InsuranceAWS (EKS, VPC), Azure AI Foundry, AKS/KAITO, Terraform
Major UK InsurerGeneral InsuranceAKS GPU, VNets, Private Endpoints, Event Grid
Global QSR EnterpriseFood & BeverageCopilot Studio, Logic Apps, API Management
UK Government DepartmentPublic SectorAzure Landing Zone, Policy, Governance
Global Investment BankFinancial ServicesAWS EKS, Multi-account networking, Transit Gateway

Senior DevOps Architect | London Stock Exchange

Aug 2022 - Apr 2023

  • Architected multi-region Azure Landing Zone with custom Terraform modules
  • Implemented Azure Policy for governance and compliance enforcement
  • 40% fewer production failures with shift-left security pipelines

Head of DevOps (Blockchain & AI Model Ops) | EY (Insurwave)

Mar 2018 - Jun 2020

Earlier Career

Genesis Trading (DevSecOps Architect) | WPP (DevOps Lead) | Nationwide (DevSecOps Lead)

Vanquis Bank | Deutsche Bank | Bank of America | Commerzbank

Close Brothers | Markit Group | Microsoft India

Education & Credentials

D.Sc. Computer Science (AI) - Doctorate in Artificial Intelligence

MSc IT Services Management - University of Northampton (2006)

MCSE - Microsoft Certified (2004, 2013)

Patent-Pending: Multi-Model AI Routing Architecture (93% cost reduction) | Token-Grounded Zero-Hallucination Extraction

Architecture Diagrams

Interactive overview of enterprise AI architectures delivered. Client-specific details have been generalized.

┌────────────────────────────────────────────────────────────────────┐ │ AZURE AI ARCHITECTURE │ ├────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────┐ ┌─────────────────┐ ┌────────────────┐ │ │ │ Azure AI │ │ Intelligent │ │ AKS/KAITO │ │ │ │ Foundry │───▶│ Router │───▶│ GPU Cluster │ │ │ │ (Custom Models)│ │ (Cost/Perf) │ │ (A100 GPUs) │ │ │ └─────────────────┘ └─────────────────┘ └────────────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ • GPT-4, GPT-4o • Simple → Foundry • Complex → AKS │ │ • Custom fine-tuned • Complex → AKS • Llama 3.x │ │ • Prompt Flow • Cost threshold • Mistral 7B │ │ • AI Search • Latency routing • Qwen 2.5/3 │ │ │ ├────────────────────────────────────────────────────────────────────┤ │ NETWORKING: VNets │ Private Endpoints │ NSGs │ Azure Firewall │ │ INTEGRATION: Service Bus │ Event Grid │ API Management │ │ MONITORING: Azure Monitor │ Log Analytics │ Application Insights │ └────────────────────────────────────────────────────────────────────┘

Azure AI Platform Architecture

Cost-optimized hybrid architecture combining Azure AI Foundry for prototyping and low-volume tasks with self-hosted models on AKS for high-throughput production workloads.

  • Intelligent Router: Analyzes query complexity to route simple requests to Foundry (pay-per-token) and complex requests to AKS (fixed infrastructure cost)
  • Result: 93% cost reduction while maintaining quality at 47,637 requests/hour
  • Security: Private endpoints, managed identities, Key Vault integration

Note: Architecture generalized from Fortune 500 insurance implementation. Specific thresholds and routing logic are proprietary.

┌────────────────────────────────────────────────────────────────┐ │ COPILOT STUDIO HR PLATFORM │ ├────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │ │ │ Copilot │ │ Custom │ │ Backend │ │ │ │ Studio │───▶│ Agents │───▶│ Integration │ │ │ │ (Canvas) │ │ (Topics) │ │ (Logic Apps) │ │ │ └─────────────┘ └─────────────┘ └─────────────────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ • Conversational • Policy lookup • ITSM API │ │ • Multi-channel • Leave requests • HR System connectors│ │ • Adaptive cards • Benefits Q&A • Azure Functions │ │ • Authentication • Manager escalation • API Management │ │ │ ├────────────────────────────────────────────────────────────────┤ │ CHANNELS: Teams │ Web │ Mobile │ │ AUTH: Entra ID │ Conditional Access │ SSO │ │ ANALYTICS: Power BI │ Application Insights │ Custom Metrics │ └────────────────────────────────────────────────────────────────┘

Microsoft Copilot Studio HR Platform

Enterprise-scale conversational AI platform for HR automation, serving 10,000+ employees across multiple channels.

  • 50+ Topics: Comprehensive coverage of HR policies, benefits, leave management, and employee queries
  • Custom Connectors: Logic Apps integration with ITSM for ticket creation and HR systems for data retrieval
  • Results: 89.3% automated resolution rate, 4.6/5 employee satisfaction

Note: Architecture from global retail enterprise implementation. Backend system names generalized.

┌─────────────────────────────────────────────────────────────────┐ │ ORCHESTRATOR AGENT │ │ (Coordinates, maintains context, aggregates) │ └─────────────────────────────────────────────────────────────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ EXTRACTION │ │ ANALYSIS │ │ RISK │ │ VALIDATION │ │ AGENT │ │ AGENT │ │ AGENT │ │ AGENT │ ├─────────────┤ ├─────────────┤ ├─────────────┤ ├─────────────┤ │ • Document │ │ • Domain- │ │ • Risk │ │ • Cross- │ │ parsing │ │ specific │ │ scoring │ │ validation│ │ • Entity │ │ analysis │ │ • Flag │ │ • Confidence│ │ extraction│ │ • Pattern │ │ generation│ │ scoring │ │ • Structur- │ │ matching │ │ • Business │ │ • Quality │ │ ing │ │ • Inference │ │ rules │ │ assurance │ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ │ └──────────────┴──────────────┴──────────────┘ │ ▼ ┌─────────────────┐ │ UNIFIED OUTPUT │ │ (Audit Trail) │ └─────────────────┘

Multi-Agent AI Framework

Distributed agent architecture for complex document intelligence processing with specialized agents working in coordination.

  • Orchestrator: Manages workflow, context sharing, and result aggregation across agents
  • Specialized Agents: Each agent optimized for specific task (extraction, analysis, risk scoring, validation)
  • Performance: 18 seconds for complete 4-agent analysis, 100% success rate, 75% high confidence

Note: Architecture generalized from insurance document processing. Domain-specific agent logic is proprietary.

┌────────────────────────────────────────────────────────────────────┐ │ KUBERNETES PLATFORM ARCHITECTURE │ ├────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────┐ ┌─────────────────┐ ┌────────────────┐ │ │ │ DNS/CDN │ │ Load Balancer │ │ K8s Cluster │ │ │ │ (Route53/ │───▶│ (ALB/AppGW/ │───▶│ (EKS/AKS/GKE) │ │ │ │ Cloud DNS) │ │ Cloud LB) │ │ │ │ │ └─────────────────┘ └─────────────────┘ └────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────┐ │ │ │ NODE GROUPS │ │ │ │ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │ │ │ │ │ App Pods │ │ App Pods │ │ GPU Pods │ │ System │ │ │ │ │ │ (HPA) │ │ (HPA) │ │ (AI/ML) │ │ Pods │ │ │ │ │ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │ │ │ └─────────────────────────────────────────────────────────────┘ │ │ │ ├────────────────────────────────────────────────────────────────────┤ │ STORAGE: S3/Blob/GCS │ EBS/Managed Disks │ EFS/Azure Files │ │ DATA: RDS/Azure SQL/Cloud SQL │ ElastiCache/Redis │ DynamoDB │ │ MONITORING: CloudWatch │ Azure Monitor │ Cloud Monitoring │ │ SECURITY: IAM │ KMS/Key Vault │ Secrets Manager │ RBAC │ └────────────────────────────────────────────────────────────────────┘

Multi-Cloud Kubernetes Platform

Production Kubernetes architecture across AWS EKS, Azure AKS, and GCP GKE — designed for high availability, auto-scaling, and GPU workloads.

  • Cluster Design: Multi-cluster architecture with dedicated GPU node pools for AI/ML (NC48ads_A100, p3.8xlarge)
  • Scaling: HPA/VPA for pod-level, Cluster Autoscaler for node-level — KAITO operator for AI model serving
  • Result: 47,637 requests/hour production throughput, 60% faster deployments via GitOps

Note: Architecture generalized from Fortune 500 multi-cloud implementations.

┌────────────────────────────────────────────────────────────────────┐ │ ENTERPRISE NETWORKING ARCHITECTURE │ ├────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────────────────────────────────────────────────┐ │ │ │ TRANSIT GATEWAY / HUB VNET / SHARED VPC (Hub Layer) │ │ │ └───────────────────────────┬─────────────────────────────────┘ │ │ ┌───────────────┼───────────────┐ │ │ ▼ ▼ ▼ │ │ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ │ │ Production │ │ Non-Prod │ │ Shared │ │ │ │ Environment │ │ Environment │ │ Services │ │ │ └───────────────┘ └───────────────┘ └───────────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌──────────┐ ┌──────────┐ ┌──────────────┐ │ │ │ Private │ │ Private │ │ Connectivity │ │ │ │ Subnets │ │ Subnets │ │ (Direct │ │ │ │ (K8s) │ │ (Dev/QA) │ │ Connect/ER) │ │ │ └──────────┘ └──────────┘ └──────────────┘ │ │ │ ├────────────────────────────────────────────────────────────────────┤ │ SECURITY: Security Groups/NSGs │ NACLs │ Flow Logs │ WAF │ │ DNS: Private DNS Zones │ Split-horizon DNS │ Route53/Azure DNS │ │ CONNECTIVITY: Direct Connect │ ExpressRoute │ Cloud Interconnect │ └────────────────────────────────────────────────────────────────────┘

Enterprise Multi-Cloud Networking

Hub-spoke network topology across AWS, Azure, and GCP with Transit Gateway / Hub VNet for centralized connectivity, security, and routing control.

  • AWS: Transit Gateway multi-account hub, Direct Connect for on-premise, Security Groups + NACLs
  • Azure: Hub VNet with Azure Firewall, Private Endpoints, ExpressRoute, NSGs, VPN Gateway
  • Security: Zero-trust networking, private subnets only, WAF, split-horizon DNS

Note: Architecture generalized from financial services and government implementations.

┌─────────────────────────────────────────────────────────────────────┐ │ CI/CD PIPELINE ARCHITECTURE │ ├─────────────────────────────────────────────────────────────────────┤ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────────┐ │ │ │ GitHub │───▶│ GitHub │───▶│ Build & │───▶│ Deploy to │ │ │ │ Repo │ │ Actions │ │ Test │ │ K8s │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌──────────────┐ ┌──────────┐ ┌─────────────────┐ │ │ │ SAST/DAST │ │ Unit + │ │ ArgoCD GitOps │ │ │ │ SonarQube │ │ Integr. │ │ Blue/Green │ │ │ │ Trivy Scan │ │ Tests │ │ Canary Deploy │ │ │ │ Snyk │ │ Coverage │ │ │ │ │ └──────────────┘ └──────────┘ └─────────────────┘ │ │ │ ├─────────────────────────────────────────────────────────────────────┤ │ IaC: Terraform modules │ CloudFormation │ Pulumi │ │ SECRETS: Key Vault │ Secrets Manager │ Workload Identity (keyless) │ │ MONITORING: Deployment metrics │ Rollback triggers │ Alerting │ └─────────────────────────────────────────────────────────────────────┘

Secure CI/CD Pipeline Architecture

Shift-left security embedded in every stage of the pipeline — SAST/DAST, vulnerability scanning, and keyless authentication throughout.

  • Security gates: SonarQube SAST, Trivy container scanning, Snyk dependency checks — mandatory before deploy
  • GitOps: ArgoCD with blue/green and canary deployments, automated rollback on failure
  • Result: 60% faster deployments, 40% fewer production incidents with shift-left security

Note: Pipeline architecture from multi-cloud enterprise implementations.

CONCEPT ──► DESIGN ──► BUILD ──► SECURE ──► DEPLOY ──► OPERATE │ │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ ▼ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ │Stake- │ │HLD/LLD │ │Python │ │Defender│ │GitHub │ │Azure │ │holder │ │Azure │ │FastAPI │ │Key │ │Actions │ │Monitor │ │Engage- │ │Archi- │ │AKS/GPU │ │Vault │ │Terra- │ │Log │ │ment │ │tect │ │Copilot │ │Policy │ │form │ │Analy- │ │Require-│ │Network-│ │Studio │ │Managed │ │AKS/ │ │tics │ │ments │ │ing │ │ │ │Ident- │ │KAITO │ │Alerts │ │Business│ │VNets/ │ │ │ │ity │ │Blue/ │ │ │ │Case │ │SB │ │ │ │ │ │Green │ │ │ └────────┘ └────────┘ └────────┘ └────────┘ └────────┘ └────────┘

End-to-End Delivery Approach

Full lifecycle ownership from initial concept through production operations. No handoffs between design and implementation.

  • Concept: Stakeholder engagement, requirements gathering, business case development
  • Design: High/Low level design, Azure architecture, networking design
  • Build: Python/FastAPI development, AKS configuration, Copilot Studio topics
  • Secure: Defender integration, Key Vault, Azure Policy, managed identities
  • Deploy: GitHub Actions CI/CD, Terraform IaC, blue/green deployments
  • Operate: Azure Monitor, Log Analytics, alerting, incident response

"I don't hand off designs to developers. I architect, build, deploy, and operate."

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