# Ahmed Tariq

> Ahmed Tariq is a Backend, Platform, AI, and Cloud DevOps Engineer specialising
> in cloud-native AI applications, custom chatbots,
> RAG pipelines, agentic AI, and scalable cloud infrastructure across
> AWS, Azure, and GCP.
> This public, client-facing portfolio presents cloud reference
> blueprints and anonymized architecture case studies for backend, platform,
> AI, and cloud DevOps engineering. Vendor reference diagrams are clearly
> attributed and are not presented as original client work.

## About

Ahmed is a dedicated and results-driven Cloud DevOps Engineer with deep
specialisation in artificial intelligence and machine learning
infrastructure. He designs, builds, and maintains robust, scalable, and
secure cloud environments that serve as the backbone for cutting-edge AI
applications. With a strong foundation in both software development and
systems administration, he bridges the gap between development and
operations.

## Services

- Cloud Application Development: Cloud-native apps on AWS, Azure, and GCP with serverless, microservices, and containers
- Cloud Engineering: SaaS, PaaS, and IaaS solutions balancing performance, security, and cost
- Cloud Cost Optimization: Workload audits, right-sizing, and pricing levers for measurable ROI
- Cloud Security & Compliance: Security controls, monitoring, and governance for data protection
- Cloud Automation & DevOps: CI/CD pipelines, workflow automation, and DevOps best practices
- Infrastructure as Code: Reusable templates with Terraform, ARM, Bicep, CloudFormation, and AWS CDK
- Cloud Monitoring & Analytics: Observability tooling with Prometheus, Grafana, ELK, Datadog, and CloudWatch
- Custom Chatbot Development: AI chatbots (text & voice) with generative models and production reliability
- Generative AI Solutions: Gen AI strategies, RAG pipelines, LLM integrations, and AI automation

## Primary Pages

- [Portfolio home](https://ahmed-tariq.me/): Profile, services, technical skills, featured case studies, certifications, and contact details
- [Architecture case-study portfolio](https://ahmed-tariq.me/projects/): A curated collection of cloud blueprints and implementation studies
- [Full LLM-readable portfolio](https://ahmed-tariq.me/llms-full.txt): Expanded text version of all case studies

## Architecture Case Studies

- [Enterprise Azure Landing Zone — Hub & Spoke](https://ahmed-tariq.me/projects/enterprise-azure-landing-zone-hub-spoke/): Microsoft reference blueprint covering management groups, subscriptions, identity, governance, connectivity, security, observability, and platform automation
- [AWS Multi-Account Security & Network Landing Zone](https://ahmed-tariq.me/projects/aws-multi-account-security-network-landing-zone/): AWS reference blueprint covering organizational units, security and log archive accounts, centralized networking, shared services, and workload isolation
- [Google Cloud Enterprise Foundation & Shared VPC](https://ahmed-tariq.me/projects/google-cloud-enterprise-foundation-shared-vpc/): Google Cloud reference blueprint covering resource hierarchy, IAM, organization policy, Shared VPC, private connectivity, security, and GitOps delivery
- [Private Azure RAG & Document Intelligence Platform](https://ahmed-tariq.me/projects/private-azure-rag-document-intelligence-platform/): Private backend, retrieval, document processing, managed data, secrets, containers, and observability
- [Azure Multi-Agent Intelligence & RAG Platform](https://ahmed-tariq.me/projects/azure-multi-agent-intelligence-rag-platform/): Specialist agents, governed data, semantic retrieval, shared model services, and deployable application components
- [AWS Cross-Account Migration & Modernization](https://ahmed-tariq.me/projects/aws-cross-account-migration-modernization/): Migration dependencies, destination foundations, data movement, validation, cutover, and rollback planning
- [Vertex AI MLOps & Model Evaluation Framework](https://ahmed-tariq.me/projects/vertex-ai-mlops-model-evaluation-framework/): Repeatable model training, evaluation, artifacts, telemetry, and promotion decisions on Google Cloud
- [Secure Multi-Environment Azure CI/CD Platform](https://ahmed-tariq.me/projects/secure-multi-environment-azure-cicd-platform/): Environment separation, identities, agents, artifacts, checks, approvals, and governed releases
- [Secure Azure AI Application Platform](https://ahmed-tariq.me/projects/secure-azure-ai-application-platform/): Protected ingress, private connectivity, managed services, AI capabilities, monitoring, and Terraform delivery
- [Event-Driven WhatsApp AI Support Platform](https://ahmed-tariq.me/projects/event-driven-whatsapp-ai-support-platform/): External messaging, asynchronous processing, AI orchestration, data, escalation, and telemetry
- [Terraform-Provisioned AWS Web Platform](https://ahmed-tariq.me/projects/terraform-provisioned-aws-web-platform/): Reusable infrastructure for edge delivery, static assets, compute, relational data, and DNS
- [Layered AWS VPC Web Application Platform](https://ahmed-tariq.me/projects/layered-aws-vpc-web-application-platform/): Public, application, and data tiers with load balancing, controlled routing, and managed database services
- [Microsoft Fabric CI/CD & GitOps Automation](https://ahmed-tariq.me/projects/microsoft-fabric-cicd-gitops-automation/): Workspace lifecycle, source control, deployment pipelines, environment promotion, and governance

The Azure, AWS, and Google Cloud foundation entries are explicitly
labelled reference blueprints with links to their official vendor sources. The
remaining entries are anonymized architecture studies; outcomes are qualitative
unless verified evidence is available for publication.

## Certifications

- Google Cloud Certified: Associate Cloud Engineer
- AWS Certified: Solutions Architect Associate
- Microsoft Certified: DevOps Engineer Expert
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Aviatrix Multicloud Network Associate

## Technical Skills

- Cloud: Azure, AWS, Google Cloud, DigitalOcean
- IaC: Terraform, ARM Templates, Azure Bicep, CloudFormation, AWS CDK
- CI/CD: GitHub Actions, Azure DevOps, Jenkins, GitLab, CodePipeline
- Containers: Docker, Kubernetes, Helm, AKS, EKS, ECS, GKE
- Serverless: Lambda, Fargate, Azure Functions, Logic Apps, EventBridge
- Monitoring: Prometheus, Grafana, ELK, Datadog, NewRelic, CloudWatch
- AI: Azure OpenAI, Azure AI Search, Azure AI Foundry, Vertex AI, AWS Bedrock
- Languages: Python, Bash, PowerShell, Node.js, React, Next.js, FastAPI, Flask
- Databases: MySQL, PostgreSQL, RDS, DynamoDB, CosmosDB

## Links

- Portfolio: https://ahmed-tariq.me
- LinkedIn: https://www.linkedin.com/in/ahmedtariq01/
- GitHub: https://github.com/ahmedtariq01/
- Credly: https://www.credly.com/users/ahmedtariq
- CV: https://ahmed-tariq.me/cv/Ahmed_Tariq_CV.pdf

## Contact

- Schedule a consultation: https://calendly.com/ahmedtm/30min
- Contact form: https://ahmed-tariq.me/#contact

## Optional

- [XML sitemap](https://ahmed-tariq.me/sitemap.xml): Canonical crawlable pages
- [Robots policy](https://ahmed-tariq.me/robots.txt): Search and AI crawler access rules