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I will build AWS cloud infrastructure terraform cicd and deploy ai llm
AI and Cloud Systems Engineer, B2B Growth Strategist
Hi there! I bridge the gap between technical infrastructure and digital growth to help brands and tech startups scale efficiently.
Core Services:
• Cloud & AI Engineering: AWS infrastructure, Terrafo...
About this Gig
6+ years building & shipping production AWS systems. Manual deploys waste hours and break code. I build automated CI/CD pipelines and scalable AWS infrastructure engineered for speed, uptime, and AI workflows.
WHAT I DELIVER:
- CI/CD Pipelines: GitHub Actions, GitLab CI, AWS CodePipeline
- Infrastructure as Code: Terraform for EC2, ECS, Lambda, RDS, S3, VPC, API Gateway
- Cloud GPU & AI: LLM deployment, model serving, and high-performance computing on AWS
- Containers & Ops: Docker, ECS Fargate, EKS, CloudWatch monitoring & Grafana dashboards
- Cloud Security: IAM least-privilege, AWS Secrets Manager, encrypted VPC networks
WHO THIS IS FOR:
- Startups & teams automating manual code deployments
- Projects deploying AI, LLMs, or GPU workloads on AWS
- Businesses migrating or optimizing legacy cloud setups
WHY WORK WITH ME?
- Code Ownership: 100% clean Terraform code zero vendor lock-in.
- Developer-First: Infrastructure tailored to match your engineering workflow.
- Clear Docs & Support: Step-by-step guides included. Up to 30 days post-delivery support.
Not sure which package fits your architecture? Message me now for a fast consultation!
FAQ
What do I need to provide before you start work on my AWS or LLM setup?
You will need an active AWS account, access to your code repository (GitHub/GitLab), and any model weights or API keys required (e.g., Hugging Face, OpenAI, or custom weights). Full details are prompted automatically in the order requirements section after purchase.
Do you provide the AWS cloud credits or cover hosting costs?
No, all AWS infrastructure and compute fees (such as EC2 GPU instances, SageMaker, or EKS) are billed directly to your AWS account. I will optimize your architecture using auto-scaling, spot instances, and serverless options to keep your monthly cloud expenditure as low as possible.
Which LLMs and AI frameworks can you deploy?
I deploy open-source models (Llama, Mistral, Falcon, DeepSeek, vLLM) as well as proprietary API integrations using AWS Bedrock, SageMaker, or custom GPU instances (NVIDIA A10G/H100/T4). I also set up vector databases (Pinecone, Qdrant, Milvus) for RAG applications.
Will I be able to manage and update the infrastructure myself after completion?
Yes. I follow Infrastructure as Code (IaC) best practices using Terraform. You will receive modular, well-commented Terraform scripts along with automated GitHub Actions CI/CD pipelines, allowing your team to deploy, modify, or destroy infrastructure with a single Git push.
How do you handle security and credential access?
Security is top priority. I use standard IAM least-privilege policies, AWS Secrets Manager, and GitHub Environment Secrets. I never store or hardcode your credentials, and I recommend providing temporary IAM admin access or cross-account roles during setup.
Do you offer post-deployment support and handover?
Yes! Every order includes a screen-recorded demo or walkthrough document explaining how your pipeline works, along with 7 days of post-delivery support to answer questions or address minor adjustments.
