You will get an AWS cost audit with the exact command to fix every finding
Project details
You're spending more on AWS than you should, and the hard part is seeing where. The waste hides in the services that just work, so nobody questions them.
I find it. A recent audit surfaced $1,379 to $1,729 a month across 60 fixes. You get the same: a clear list of what you're overpaying for, each with the exact command to fix it and a conservative dollar range from your real usage.
I'm not a billing-console tourist. I've built and run production platforms that take tens of thousands of requests a minute during flash sales and move millions of events, the kind that page you at 3am. That scale is why I know which changes are safe and where the money leaks, and I've cut AWS bills for years, including 85% off one workload everyone assumed was fine.
This isn't a generic "consider rightsizing" PDF or a fixed checklist. I follow the money across every service and region on your bill, down to the leaks most audits miss: data transfer, NAT, metric streams. Every finding is verified by hand, so you only see real savings.
The access is strictly read-only. Nothing I do can change or delete anything, and you can revoke it anytime. The sample report shows exactly what you'll get.
I find it. A recent audit surfaced $1,379 to $1,729 a month across 60 fixes. You get the same: a clear list of what you're overpaying for, each with the exact command to fix it and a conservative dollar range from your real usage.
I'm not a billing-console tourist. I've built and run production platforms that take tens of thousands of requests a minute during flash sales and move millions of events, the kind that page you at 3am. That scale is why I know which changes are safe and where the money leaks, and I've cut AWS bills for years, including 85% off one workload everyone assumed was fine.
This isn't a generic "consider rightsizing" PDF or a fixed checklist. I follow the money across every service and region on your bill, down to the leaks most audits miss: data transfer, NAT, metric streams. Every finding is verified by hand, so you only see real savings.
The access is strictly read-only. Nothing I do can change or delete anything, and you can revoke it anytime. The sample report shows exactly what you'll get.
Support & IT Services
Cloud Services, ConsultationCloud Platforms
Amazon Web ServicesWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 0 | 0 |
Remote Connection Support | - | - | - |
Documentation |
Frequently asked questions
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About Mohamed
AWS Cost Optimization, Backend & DevOps Engineer | Node.js, Python
100%
Job Success
Cairo, Egypt - 9:07 am local time
I cut a production search setup 85%, Aurora at $4,200/mo down to DynamoDB plus OpenSearch around $630. Nobody had touched it in a year because it was "working." Found CloudWatch logs double-shipping at $2,766/mo because two teams set up logging and nobody checked for overlap. Found metric streams burning $1,900/mo sending everything unfiltered across regions.
That pattern got annoying enough that I built CostPatrol, an AWS cost tool with 123 detection rules across 30 AWS services that scans an account in about a minute and hands you the exact fix commands. Shipped it in two weeks.
So if your AWS bill is climbing and nobody can tell you why, that's the work I want. Connect a read-only role, I scan, and you get a ranked list of what's leaking and what it costs. No guessing.
The cost instinct comes from running production for years, not reading about it. Some of what I've built:
- Payment service for a major UK ticketing platform. Worldpay, Apple Pay, Google Pay. Real money, high volume.
- Flash sales at tens of thousands of requests a minute across 80+ venues. 100x DynamoDB throttling reduction by consolidating scheduled work.
- Uptime from 97.8% to 99.99%. The fix was ripping out a flaky CMS causing cascading failures, not adding anything.
- Deploy times from 45 minutes to under 5, across 40+ brands and 4 AWS regions. Feature rollouts from 10 minutes to 5 seconds after moving the frontend to Next.js on App Runner.
- AI chatbot on Bedrock and Claude, RAG with PII redaction, automating 80% of inquiries.
Claude Code is my primary dev tool now. I write the spec, it does the implementation, and I gate the parts that actually bite, auth, money, security, infra. Last year I shipped four production products solo this way: an AWS cost SaaS, an institutional deal-verification platform, an AI nutrition coach, and a quant trading engine. The language stopped being the hard part. What breaks at 3am, what needs a human looking at it, that's the part a model doesn't give you. So the stack is a detail. Node and Python are home, but I'll reach for whatever the job needs.
Industries I've shipped production in: fintech (KYC/AML onboarding, payments, multi-tenant auth with Cognito), wealth and investments (unit-trust onboarding, fund operations), healthcare (HIPAA, KMS, VPC isolation), ticketing and entertainment (flash-sale load, multi-region, multi-brand), legal-tech (dispute resolution, OCR, e-signatures), e-commerce, petroleum (Fortune 500 dashboards, SAP, Step Functions ETL), IoT (real-time telemetry, leak detection), and blockchain (Hyperledger identity, audit trails).
What I take on: AWS cost audits and FinOps (not only AWS, I've trimmed observability tool spend too), backend and API builds (Node, Python, GraphQL, REST), DevOps and infrastructure-as-code (Terraform, CDK, Serverless, CI/CD, multi-account), observability and alerting as code (Pulumi, New Relic, NRQL), AI and LLM work (RAG, agents, Bedrock, Comprehend, Textract, vector search), GEO and AEO optimization for AI search visibility, and architecture, breaking monoliths into event-driven microservices that hold up under load.
What I reach for most: AWS (Lambda, ECS, Fargate, DynamoDB, EventBridge, Step Functions, SQS, CloudFormation, CDK, Terraform), Node.js/TypeScript, Python, Claude/Bedrock, LangChain, FAISS, OpenSearch, PostgreSQL, Aurora, Redis, GraphQL, Stripe, Cognito, Cloudflare Workers, Pulumi, New Relic, React/Next.js.
Send over what you're dealing with, the bill that doesn't add up or the system that keeps paging someone, and I'll tell you how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Grant read-only access
I send you a CloudFormation template that creates a read-only role. You deploy it and share the role ARN. A few minutes, and nothing I do can change anything.
Full account review
I follow the money across every service and region on your bill, one account or a whole Organization, using your real 30-day usage data.