You will get AWS cost optimization audit for enterprise efficiency
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Project details
AWS costs rarely become a problem overnight. They usually grow quietly as products scale, new services are added, and temporary fixes become permanent infrastructure.
By the time the bill feels too high, the real issue is usually hidden inside architecture choices, unused resources, inefficient serverless usage, poor database patterns, or services that were never optimized for real traffic.
This AWS cost optimization audit helps you understand where your cloud spend is going and what can be improved without hurting performance. I will review your AWS architecture, billing patterns, compute usage, serverless workflows, APIs, storage, and scaling behavior to identify practical ways to reduce waste.
The goal is not to give generic cloud advice. The goal is to give you a clear, engineering-focused view of what is costing too much, what should be changed, and where optimization can improve both cost and infrastructure efficiency.
This is a strong fit for SaaS teams, startups, and product companies running on AWS who want better control over cloud costs before they become a growth problem.
By the time the bill feels too high, the real issue is usually hidden inside architecture choices, unused resources, inefficient serverless usage, poor database patterns, or services that were never optimized for real traffic.
This AWS cost optimization audit helps you understand where your cloud spend is going and what can be improved without hurting performance. I will review your AWS architecture, billing patterns, compute usage, serverless workflows, APIs, storage, and scaling behavior to identify practical ways to reduce waste.
The goal is not to give generic cloud advice. The goal is to give you a clear, engineering-focused view of what is costing too much, what should be changed, and where optimization can improve both cost and infrastructure efficiency.
This is a strong fit for SaaS teams, startups, and product companies running on AWS who want better control over cloud costs before they become a growth problem.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Performance Optimization, Security, DesignWhat's included $700
These options are included with the project scope.
$700
- Delivery Time 5 days
- Number of Revisions 0
- Design Customization
- Responsive Design
- Source Code
Frequently asked questions
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Trevor H.
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Roby S.
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Devon G.
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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
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About Muhammad
AI Product Developer | AI Engineer | AI Agent Developer | AWS Expert
96%
Job Success
Karachi, Pakistan - 4:12 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 Review & Findings
I will review your AWS setup, identify cost inefficiencies, and prepare a clear optimization plan focused on practical savings.