I will deploy your ai app or llm on AWS with docker fastapi and autoscaling

D
devenvarya
D
devenvarya
Devendra V

About this gig

I deploy your AI app or LLM on AWS so it is secure, scales with traffic and does not surprise you with a huge bill. I have 4.75 years running AWS in production.


Your AI app works on your laptop or in a notebook, but not in production. AI app deployment is where many projects stall, so I handle the full LLM deployment on AWS for you.


What you get:

  • Docker image for your Python or Node AI app (FastAPI, Flask, Streamlit, Next.js)
  • Run on ECS Fargate, EKS, EC2 or EC2 GPU
  • Secure API with HTTPS, auth and rate limits
  • API keys in Secrets Manager, never in code
  • Logs, metrics, health checks and budget alerts


I run a production RAG assistant on AWS Fargate and Aurora that answers at under 1 cent per question, so cost control is built into how I deploy your AI app.


Why me:

  • Top Rated on Upwork with 130+ jobs completed
  • HashiCorp Terraform Associate (003) certified
  • 4.75 years of hands-on AWS DevOps work


Message me with your setup before ordering so I can confirm the right package.

Get to know Devendra V

Devendra V

AI and DevOps Engineer, RAG, LLM Apps, AWS

  • FromIndia
  • Member sinceAug 2026
  • Avg. response time1 hour
  • Languages

    Hindi, English, Gujarati
I build AI systems that run in production, not demos that break in week one. RAG pipelines over messy internal docs, LLM apps, and agents that do real work. The difference is what sits underneath. 4.75 years on AWS, Terraform, Docker and CI/CD means I handle deployment, monitoring and cost control, not just the model call. Recent work: a RAG backend serving live client queries, monitoring stacks for multi-tenant hosting, and a large AWS bill cut without downtime. Tell me what you want to build and I will tell you straight whether it is a two day job or a two month one.

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