You will get amazon connect call center ai genai bedrock lex bot
Top Rated
Project details
What I have to offer in this GIG:
Setup Amazon Connect (a cloud contact center)
Create IVR flows for Voice and Chat channel with Generative AI using bedrock or chatgpt.
Designing your Contact Center for inbound and outbound calls
Create Queues and Users in Amazon Connect.
Create AWS Lambda Functions and integrate in IVR flow - Interactive Voice Response
Integration with AWS Lex with Generative AI using bedrock or chatgpt.
Generative AI Artificial Intelligence Agent Chatgpt LLama Bedrock based call center.
....
Setup Amazon Connect (a cloud contact center)
Create IVR flows for Voice and Chat channel with Generative AI using bedrock or chatgpt.
Designing your Contact Center for inbound and outbound calls
Create Queues and Users in Amazon Connect.
Create AWS Lambda Functions and integrate in IVR flow - Interactive Voice Response
Integration with AWS Lex with Generative AI using bedrock or chatgpt.
Generative AI Artificial Intelligence Agent Chatgpt LLama Bedrock based call center.
....
Programming Languages
JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 3 | 4 | 5 |
Number of Pages | 1 | 1 | 8 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
6 reviews
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PI
Peter I.
Jun 24, 2026
Build MCP Platform on AWS
I am very happy to share my experience with Mr. Kamran to complete the AWS BedRock AgentCore project with five milestones. In the begining, my project scope for milestone 1 is simple to build a MCP gateway and add some external data API, internal database, external MCP servers. Yet I found that the solution need more capability such as semantic search at MCP gateway "Search Tool" so that MCP client just receive one default search tool and get small set of the best tools to complete the work, rather than full set of MCP tools. Finally, I have added more exterdal data API and Role Based Authentication etc. to make this solution as demo-ready enterprise AI solutions. I am very happy with the final result within my limited budget. I will definitely invite Mr. Kamran to join my futuer projects, especially AWS bedRock related projects.
PI
Peter I.
May 24, 2026
API Relay to call OCR API service using Lambda and API Gatewa
I am happy with the final result for my demo purpose. In the begining, the project scope needed to be modified due to technical constraints. I was not happy with some components that was not user friendly. When he improved the code and logic approaches, I could feel his professional attitutide and work hard to solve technical problems. Finally I am very happy with the final result within my budget. Through he may not be strong in every technical areas, yet his professsional attitude makes me impressed. I wish he every success in the future.
PK
Puru K.
Mar 25, 2025
Initial Phase of Lex bot using RAG and Bedrock
CN
Code N.
Sep 22, 2024
AWS Lambda middleware
Amazing experience working with Kamran, He took the time to understand our issues. worked with our developer provider a solution that resolved the issue. A+ experience highly recommended! Will be hiring him again for different tasks.
TB
Tyrone B.
Oct 27, 2022
Landing CRUD spring boot Angular application;
Very good Angular and Java integration
About Kamran
Full Stack Cloud Engineer | AgentCore | Bedrock | FastAPI | 5y+
100%
Job Success
Lahore, Pakistan - 6:17 am local time
I'm Kamran, an AWS-specialized Full Stack Engineer with 5+ years delivering SaaS platforms, serverless backends, and AI-integrated applications - all built natively on AWS.
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🏆 What I've delivered:
- SaaS platforms with multi-tenancy, billing, and RBAC on AWS
- AI-powered chatbots and automation using Bedrock, Lex, Comprehend, Polly, Textract
- Browser automation systems with Playwright running on ECS Fargate + SQS
- Document intelligence pipelines - extract, summarize, classify at scale
- Enterprise HCM platforms serving Middle East organizations on AWS
- Infrastructure as Code with CDK - clean, auditable, repeatable
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💡 You should hire me if:
- You're building a SaaS product and need solid AWS architecture
- You need AI features built into your product - chatbots, document processing, summarization, transcription, ai processing
- You want serverless that actually works in production, not just demos
- You need an engineer who owns the problem end to end
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🔹 AWS Stack:
Lambda · Step Functions · CDK · API Gateway · DynamoDB · Aurora · Cognito · EC2 · ECS · ECR · S3 · SQS · SNS · EventBridge · IAM · Bedrock · AgentCore · Lex · Comprehend · Textract · Polly · Transcribe · Rekognition · CloudWatch · Amazon Connect · AgentCore · RDS · ElastiCache · Athena · Glue · Kinesis · Redshift · VPC · Route 53 · CloudFront · ACM · WAF · Secrets Manager · Parameter Store
🔹 Supporting Tech:
Node.js · NestJS · Python · FastAPI · React · Next.js · PostgreSQL · Kafka
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Quality, Commitment, and Trust — on every project.
📩 Tell me what you're building. Let's ship it on AWS.
Steps for completing your project
After purchasing the project, send requirements so Kamran can start the project.
Delivery time starts when Kamran receives requirements from you.
Kamran works on your project following the steps below.
Revisions may occur after the delivery date.
Start meeting with Client