You will get AWS cost optimization without sacrificing performance
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Project details
AWS costs usually do not become a problem overnight. They grow quietly as your product scales, more services are added, and quick fixes turn into expensive long-term patterns.
The difficult part is not just cutting the bill. It is cutting the bill without slowing down your application, breaking production workflows, or creating new engineering problems.
This project helps you understand where your AWS spend is going, what is actually needed, and where your architecture can be improved for better cost efficiency and performance.
I will review your AWS infrastructure, serverless usage, API flow, compute patterns, storage, database usage, and scaling behavior. The goal is to find practical optimization opportunities that reduce waste while keeping your system fast, stable, and ready for real users.
This is ideal for SaaS teams, startups, and product companies seeing rising AWS bills, slow APIs, Lambda cold starts, or scaling issues.
You will get a clear AWS cost optimization direction based on real system usage, not generic cloud advice.
The difficult part is not just cutting the bill. It is cutting the bill without slowing down your application, breaking production workflows, or creating new engineering problems.
This project helps you understand where your AWS spend is going, what is actually needed, and where your architecture can be improved for better cost efficiency and performance.
I will review your AWS infrastructure, serverless usage, API flow, compute patterns, storage, database usage, and scaling behavior. The goal is to find practical optimization opportunities that reduce waste while keeping your system fast, stable, and ready for real users.
This is ideal for SaaS teams, startups, and product companies seeing rising AWS bills, slow APIs, Lambda cold starts, or scaling issues.
You will get a clear AWS cost optimization direction based on real system usage, not generic cloud advice.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 5 days
- Number of Revisions 5
- Bug Investigation
Frequently asked questions
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JA
Jason A.
Apr 10, 2025
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Trevor H.
Feb 14, 2025
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thorough and effective
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Roby S.
Feb 8, 2025
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DG
Devon G.
Nov 25, 2024
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Muhammad was fantastic, he successfully completed the tasks I asked for in a timely manner. I would definitely work with him again.
GD
Greg D.
Nov 25, 2024
Optimize AWS Costing and Utilization
About Muhammad
AI Product Developer | AI Engineer | AI Agent Developer | AWS Expert
96%
Job Success
Karachi, Pakistan - 9:54 am local time
I’m an AI Engineer who builds production ready AI systems that actually work and generate revenue. I design system with AI Automation, API Integration, and scalable Cloud Architecture on AWS so your product runs reliably, not just in theory.
You don’t need a full team to build and scale your product. I handle AI development, API integration, and cloud architecture end-to-end so you move faster with fewer moving parts.
Over the last 8 years, I’ve worked across AI, backend, and cloud, building systems used by real
businesses:
→ AI recommendation engine serving 50,000+ Shopify stores with millions of daily requests
→ PCI-compliant financial platform with real-time processing and multi-tenant architecture
→ AI-powered accounting SaaS using RAG Pipeline and semantic search
→ Multi-tenant logistics and eCommerce platforms with full Workflow Automation
What I can help you with:
→ AI Automation and Workflow Automation to replace manual work
→ AI Agent Development and Multi-Agent Systems for real business use cases
→ AI integration into SaaS products, CRMs, and internal tools
→ Generative AI, AI Chatbot Development, and Conversational AI systems
→ Scalable AI App Development using Serverless Architecture (AWS Lambda, Amazon Bedrock)
→ End-to-end API Integration across third-party services and platforms
→ Production-ready systems with proper CI/CD Pipeline, performance, and cost optimization
Why clients work with me:
→ Focus on production ready AI products, not prototypes or experiments
→ Strong in AI + backend + AWS (not just one piece)
→ Experience with systems handling millions of requests and real users
→ Clean architecture, scalability, and long-term maintainability
Core stack:
AI: Generative AI, AI Agents, RAG Pipeline, LangChain, OpenAI, Claude, Amazon Bedrock
Backend: Node.js, Python, REST, GraphQL
Cloud: AWS Lambda, DynamoDB, Step Functions, EventBridge
Automation: Workflow Automation, CRM Automation, API Integration
Infra: CI/CD Pipeline, Docker, Kubernetes
If you're building an AI product on AWS and need someone to handle end-to-end product development with scalability, cost efficiency, and long-term architecture in mind, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
AWS Cost & Performance Review
I will review your AWS setup, identify cost leaks and performance bottlenecks, then provide a clear optimization plan.