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I will dockerize and deploy your voice ai agent to AWS ecs eks with auto scaling
Muhammad Faizan
About this gig
Supercharge your voice AI agent or Python chatbot with enterprise-grade AWS deployment! I will dockerize your app and deploy to AWS ECS, EKS, or EC2 with auto-scaling, load balancing, CloudWatch monitoring, and IaC via Terraform or CloudFormation. Handle thousands of concurrent calls reliably for Twilio/LiveKit voice bots, ensuring 99.9% uptime during traffic spikes. Ideal for production AI voice agents in customer service, telemarketing, or virtual receptionists
What You Get:
- Dockerized voice AI application (multi-stage builds, optimized images).
- Full AWS infrastructure: ECS/EKS clusters, ALB/NLB, ASG for auto-scaling.
- CloudWatch dashboards, alarms, logs; X-Ray tracing optional.
- CI/CD pipelines (CodePipeline/ECS Blue/Green), security groups, VPC setup.
- Deployment scripts/docs for one-click updates; load testing report
Why Me?
Certified AWS DevOps expert with 50+ deployments for AI/ML apps. Fast turnaround (3-5 days), unlimited revisions, 100% success rate. Clients scaled from 100 to 10k+ RPS seamlessly.
My Process:
- Audit your app/codebase and AWS account.
- Build/test Docker images locally.
- Provision infra, deploy, validate scaling.
- Handover with monitoring setup and training.
Get to know Muhammad Faizan
Muhammad Faizan
I build production grade Voice AI agents LiveKit Twilio Python deployed on AWS
- FromPakistan
- Member sinceMay 2025
Languages
Urdu, English, Arabic
I build production-grade Voice AI agents using LiveKit, Twilio, and Python. I’ve implemented real-time inbound/outbound call flows with low-latency streaming, clean turn-taking, and barge-in handling. I improve reliability by tuning VAD, handling jitter/packet loss, and adding retries plus consistent call-state. I containerize and deploy voice agents on AWS so they run stable in production with logging and monitoring.
My Portfolio
FAQ
Why use Docker on AWS?
Docker containers make deployment consistent and portable. AWS (ECS/EKS) can easily run containers with auto-scaling to handle variable loads.
How is scaling handled?
I set up ECS/EKS or auto-scaling groups with load balancers. You define scaling policies (e.g., CPU or requests) to automatically add/remove instances.
What monitoring do you set up?
I configure CloudWatch metrics for CPU, memory, and custom logs. Alerts can be sent via SNS or email. Optionally, I can set up Prometheus/Grafana dashboards.
Do you set up CI/CD or monitoring as part of the migration?
In the Premium package, yes – I include setting up a CI/CD pipeline (using GitHub Actions by default, or another tool per your request) so that future deployments to AWS are automatic and smooth. I also configure AWS CloudWatch for basic monitoring (logs and uptime alarms)
Does this include CI/CD?
The packages focus on deployment. CI/CD pipelines (like CodePipeline or Jenkins) can be added as a custom extra
Is Kubernetes necessary?
Not required for small setups. ECS is simpler. For large-scale or multi-service architectures, EKS (Kubernetes) is an option in the Premium package.
How do you ensure uptime?
By using multiple availability zones, health checks on load balancers, and auto-restart policies in ECS/EKS. More redundancy is possible at Premium level.
What if AWS costs are a concern?
I design for cost-efficiency (e.g., right-sizing instances). You're responsible for AWS bills, but I can advise on budgeting.
Can you help with other clouds?
his gig is AWS-focused; I also work with other clouds (Azure, Google) in separate gigs if needed.
What if I don't use AWS?
The concepts apply to any cloud. Contact me for a custom solution on your preferred platform.
