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I will deploy and containerize your ai llm app with docker kubernetes ci cd
Mohamed Gouda
Level 2
About this gig
Your AI app works on localhost. Let me put it in production.
As a Senior DevOps/MLOps Engineer with 9 certifications (GCP DevOps Engineer, CKA, AWS Developer, Terraform Associate), I containerize and deploy AI/LLM applications on production cloud infrastructure.
What I deliver: Dockerize your AI app with optimized multi-stage builds Deploy to AWS, GCP, or Azure (Cloud Run, ECS, GKE, EKS, AKS) Kubernetes orchestration with auto-scaling and GPU support CI/CD pipeline every git push builds, tests, and deploys automatically Health checks, readiness probes, rolling updates, rollback Monitoring and alerting for your deployed app Infrastructure-as-Code with Terraform
Why me? I deploy AI apps daily managing 14+ cloud environments for enterprise ML teams. Same production-grade infra for your project.
Perfect for: AI devs with a prototype needing deployment LangChain/RAG apps stuck in notebooks Teams migrating from local to cloud
Message me before ordering with your repo or app details.
Get to know Mohamed Gouda
Mohamed Gouda
Streamlining DevOps with expertise, innovation, and efficiency!
Level 2
- FromEgypt
- Member sinceOct 2023
- Avg. response time1 hour
- Last delivery2 months
Languages
English, Arabic, German
👋 I'm Mohamed — Senior DevOps/MLOps/LLMOps Engineer with 9 certifications (GCP DevOps, CKA, AWS Developer, Terraform) managing 14+ cloud AI/ML environments daily.
I take AI apps from localhost to production — containerized, automated, monitored, and scalable on AWS, GCP, and Azure.
→ Deploy AI/LLM apps (LangChain, RAG, FastAPI)
→ Docker, Kubernetes, Terraform — always IaC
→ CI/CD pipelines for AI workflows
→ LLMOps monitoring & observability
→ Build + deploy AI agents end-to-end
Most devs build but can't deploy. I do both. Message me first!
My Portfolio
Other AI Development Services I Offer
FAQ
What AI frameworks do you support?
LangChain, LlamaIndex, FastAPI, Streamlit, Gradio, Flask, Django — if it runs locally, I can deploy it.
Which cloud should I use?
GCP Cloud Run for serverless AI apps. AWS ECS/EKS for heavier workloads. Azure AKS for Microsoft ecosystem. I'll recommend the best fit based on your budget and scale.
Do I need to change my code?
Usually no. I write the Dockerfile, CI/CD config, and infra code around your existing app. Minor tweaks may be needed for env variables or config.
What does CI/CD include?
Automated build, test, containerize, and deploy on every push. Staging + production environments, rollback capability, and Slack/email notifications.
Can you deploy GPU-dependent apps?
Yes. I configure GPU nodes on Kubernetes with proper scheduling, resource limits, and spot instances for cost optimization.
What if my app crashes after deployment?
I set up health checks, auto-restart, and monitoring alerts. Premium includes full observability — you'll know about issues before users do.
Can you handle microservices?
Yes. Multi-container setups with networking, service discovery, and inter-service communication on Kubernetes.
Will I get documentation?
Standard and Premium include deployment docs, architecture diagrams, and runbooks so your team can maintain everything independently.
