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I will deploy your ai app on google cloud
Aymen Hammouda
About this gig
Have an AI app that works locally but is not ready for real users?
I deploy existing Python or Node.js AI apps, agents, RAG APIs, and MCP services to Google Cloud Run with secure configuration, repeatable releases, monitoring, and clear handover documentation.
Depending on the package, I can provide:
Dockerization and Cloud Run deployment
Artifact Registry, Secret Manager, and least-privilege IAM
Terraform infrastructure as code
GitLab CI or GitHub Actions with rollback guidance
Custom domain and HTTPS
Cloud Logging, monitoring dashboards, and alerts
Connectivity to one existing PostgreSQL or vector database
I am a senior DevOps and platform engineer with 10+ years of enterprise experience, a Google Cloud Professional Cloud Architect, and a HashiCorp Terraform Associate.
This Gig is for an existing application that already runs locally. Application development, major refactoring, model training, GPU inference, GKE, database migration, and cloud usage fees are not included unless agreed in a custom offer.
Message me before ordering with your repository, stack, dependencies, and target environment.
Get to know Aymen Hammouda
Aymen Hammouda
- FromFrance
- Member sinceAug 2018
- Avg. response time1 hour
- Last delivery2 years
Languages
English, French
I'm a AI Adoption Consultant, DevOps/Site Reliability Engineer and a Certified Professional Google Cloud Architect Hashicorp Terraform Certified with over 10 years of professional experience in building and automating IT operations and workflow for high-profile clients and organizations from the automobile industry to Luxury retail, cumulating extensive experience in building enterprise-grade infrastructure and automated workflows that adhere to the most rigorous security, high availability, and quality standards.
Other AI Development Services I Offer
FAQ
My app was built with Cursor, Claude Code, Replit, or Lovable. Can you deploy it?
Yes, when the tool provides an exported codebase that runs locally and can be deployed independently. Cursor, Claude Code, Replit, and similar projects are usually suitable after review. Platform-hosted or non-exportable applications require a compatibility check before ordering.
Do you build the AI application from scratch?
No. This Gig productionizes an existing working application. Small deployment-related corrections may be included after review. New AI-agent, RAG, application, or MCP development requires a separate Gig or custom offer.
Do the fixed packages include GKE, Kubernetes, or GPU model hosting?
No. Fixed packages focus on Cloud Run because it provides a predictable deployment path for many APIs, agents, workers, webhooks, and RAG backends. GKE, Kubernetes, GPU inference, and private model serving require a custom offer after technical review.
Which application stacks are supported?
The standard scope covers deployable Python or Node.js services such as FastAPI, Flask, Express, workers, webhooks, LangChain, LangGraph, RAG APIs, and existing MCP services. Other stacks require a compatibility review.
Can you connect my application to a database or vector store?
Standard includes connectivity to one existing supported PostgreSQL or vector database that is already reachable through the agreed architecture. Database provisioning, schema design, data migration, performance tuning, and private-network redesign are not included.
Are Google Cloud, domain, database, and AI-provider charges included?
No. The Gig price covers engineering delivery. Cloud resources, domains, databases, storage, GPUs, and model or API provider usage are purchased and paid for directly by the buyer.
What access do you need?
Temporary repository access and temporary least-privilege Google Cloud roles are normally required after the order starts. Do not send passwords or private keys. The buyer retains ownership, and temporary access must be removed at handover.
Can you use my existing GitLab CI or GitHub Actions workflow?
Yes. Depending on the selected package, I can review, repair, extend, or replace one existing deployment workflow for the included repository and environment.
Is security or compliance certification included?
I can implement practical controls such as least-privilege IAM, Secret Manager, TLS, separate environments, logging, and container checks. Formal compliance assessment, certification, legal advice, penetration testing, and guarantees of SOC 2, HIPAA, or GDPR compliance are not included.
What happens after delivery?
Each package includes a limited defect-support window for the delivered configuration. Ongoing monitoring, upgrades, cost reviews, and maintenance can be provided through a separately scoped custom offer. The 30-day maintenance Extra is limited to four engineering hours with no on-call coverage.
