You will get Managed AI Agent Hosting Platform
Project details
A full-stack SaaS reference project for hosting lightweight AI agents with a dashboard, backend API, controller service, Supabase/PostgreSQL schema, and isolated worker lifecycle.
This is designed as a portfolio project showing how application development and cloud/platform thinking come together: frontend, API, database, worker orchestration, secrets handling, and operational visibility.
This is designed as a portfolio project showing how application development and cloud/platform thinking come together: frontend, API, database, worker orchestration, secrets handling, and operational visibility.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, Google AutoML, MATLAB, NVIDIA AI Platform, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 30 days |
Number of Revisions | 1 | 3 | 10 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Mohd
Cloud DevOps Architect | CI/CD, Migration | Vibe Coder
Dubai, United Arab Emirates - 7:10 pm local time
I am a Senior Cloud & DevOps Architect with 12 years of enterprise experience across financial services, telecom, government, and enterprise technology environments in the UAE, Singapore, and India. I specialize in AWS, multi-cloud infrastructure, Terraform, Kubernetes, CI/CD, cloud migration, security, governance, and production-ready platform engineering.
If you are moving from one hosting provider to another, migrating from on-premises to cloud, modernizing your deployment process, setting up AWS infrastructure, or fixing unstable cloud environments, I can help you do it properly.
What I can help you with:
- AWS infrastructure design and implementation
- Website and application hosting migration
- On-premises to cloud migration
- Cloud-to-cloud migration
- AWS Landing Zone and Control Tower setup
- Multi-account AWS governance, IAM, SCPs, networking, and security baseline
- Terraform infrastructure as code
- Reusable Terraform modules and remote state setup
- CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, AWS CodePipeline
- Docker, Kubernetes, EKS, ECS Fargate, Helm, and ArgoCD
- Cloud cost optimization and architecture cleanup
- Disaster recovery design, backup strategy, RTO/RPO planning
- Monitoring and logging with CloudWatch, Splunk, AppDynamics, Log Analytics, and similar tools
- Security hardening using IAM, KMS, GuardDuty, Security Hub, network controls, and policy-based governance
- Linux/Windows server management and automation
- Python, Bash, and PowerShell scripting for cloud automation
- API-based automation where native tools are not enough
I have deep hands-on experience with AWS services including EC2, S3, RDS, DynamoDB, IAM, Lambda, VPC, CloudFront, ALB, ELB, CloudFormation, CloudWatch, Direct Connect, CodeBuild, CodeDeploy, CodePipeline, GuardDuty, and more.
I have also worked with Azure, GCP, IBM Cloud, and OCI, including hybrid and multi-cloud environments for regulated enterprise clients.
My strongest value is not just creating infrastructure. It is designing cloud platforms that teams can actually use, operate, secure, and scale.
Typical projects I am a strong fit for:
- “Move my website/app from one host to AWS”
- “Set up production-ready AWS infrastructure”
- “Create Terraform for my cloud environment”
- “Fix my CI/CD pipeline”
- “Containerize and deploy my application”
- “Set up Kubernetes/EKS/ECS”
- “Improve cloud security and reduce risk”
- “Design disaster recovery”
- “Automate cloud operations”
- “Review my existing AWS architecture”
- “Reduce cloud cost”
- “Build infrastructure for a SaaS product or AI application”
I am also actively building full-stack applications using modern AI-assisted development workflows, with React, Node.js, APIs, databases, and cloud deployment. This allows me to understand both sides of a project: the application and the infrastructure needed to run it reliably.
Why clients work with me:
- 12 years of real enterprise cloud experience
- Strong AWS, Terraform, Kubernetes, DevOps, and migration background
- Experience with banking, fintech, telecom, and government-grade environments
- Clear communication and practical architecture decisions
- Focus on secure, maintainable, production-ready delivery
- Ability to work from strategy through implementation
If you need a senior cloud engineer who can design the architecture, implement the infrastructure, automate the deployment, and explain the decisions clearly, send me a message. I can review your current setup and suggest the best next step.
Steps for completing your project
After purchasing the project, send requirements so Mohd can start the project.
Delivery time starts when Mohd receives requirements from you.
Mohd works on your project following the steps below.
Revisions may occur after the delivery date.
Review
Period reviews