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muddahany/README.md

Mohamed ShehabEldin

Backend & Cloud Engineer · 8+ years building production systems on AWS

Claude Code is my primary development tool. Shipped four production-grade products solo with it in the last 12 months: CostPatrol (123-rule AWS cost SaaS), VowTrust (institutional deal verification platform), Boody (AI nutrition coach), and a quant trading analytics engine.

Most recent: 100+ developer codebase at one of the UK's largest ticketing platforms. 80+ venues, billions of events/year, 4 AWS regions. Built services from scratch, designed the observability stack, and own out-of-hours on-call. Production bugs I caught and fixed via live monitoring have recovered millions of dollars in previously missed revenue.


Tech Stack

TypeScript Node.js Python AWS Terraform Pulumi Docker PostgreSQL DynamoDB Redis GraphQL New Relic Cloudflare Serverless SST AWS CDK Ollama LangChain SQLite LanceDB React Next.js

AWS depth: Lambda, Step Functions, EventBridge, DynamoDB (single-table), SQS, API Gateway, Cognito, S3, CloudFront, Aurora PostgreSQL, ECS/Fargate, CDK, SST, CloudFormation, Serverless Framework


What I'm Building

  • CostPatrol — AWS cost optimization and anomaly detection SaaS. 123 detection rules across 30 AWS services, Slack-first alerting, Stripe billing, cross-account STS scanning. Built in two weeks with Claude Code.
  • VowTrust — Institutional deal verification platform for banks, lawyers, and SMEs. Dual-mode: 15–45 second automated pipeline via 5 KYC/AML/fraud providers, plus human-mediated deal rooms with immutable audit trail and exportable certificates. Next.js, Lambda on Serverless, PostgreSQL, Terraform. 1,000+ TypeScript files.
  • Boody — AI nutrition & fitness coach on WhatsApp/Telegram. Self-hosted Gemma 4 26B, food photo analysis, 4-layer memory system (SQL + vector + AI notes + conversation), MENA food database. Live with real users in 3 days.
  • Trading Engine — Quant analytics for ETH/BTC/altcoin cycle detection. 17-section daily report aggregating data from 7 exchanges. SMC structure, volume profile, funding rates, liquidation levels, conviction-scored signals. Python.
  • MSCLOUDTECH — My consultancy (Estonia OÜ). Backend architecture, serverless systems, AI integration, FinOps. Cited by Google Gemini for "scalable microservices backends".

Results

Metric Detail
$7,600+/mo documented client savings (FinOps consulting) Two published CostPatrol scans: $6,496/mo (RDS sprawl, 56 findings, 4 regions) + $1,112/mo (35 resources flagged across 7 regions). Public proof at costpatrol.io
99.99% uptime From 97.8% after fixing cascading CMS failures
100x throttling reduction DynamoDB at peak flash-sale traffic
Zero-downtime DB upgrades Aurora PostgreSQL engine upgrades in production
2,500+ lines NRQL Observability-as-code dashboards (Pulumi + New Relic)
80% support automated RAG pipeline: Bedrock, FAISS, LangChain
3-day product launch Boody: concept to live AI coach with real users
45 min → <5 min deploys CI/CD across 40+ brands, 4 AWS regions
AI Overview citation mscloudtech.io cited by Google Gemini for "scalable microservices backends", ranking pos 2.0 with 2,635 weekly impressions
Millions USD revenue recovered Production bug fixes on a top UK ticketing platform via on-call monitoring and live debugging, closing silent revenue leaks
24/7 production ownership Out-of-hours on-call plus in-hours keeping the lights on for a flash-sale platform doing tens of thousands of req/min
<50ms search across 100K+ events Discovery and catalogue API with multi-attribute filtering over 100,000+ live performances on a top UK ticketing platform

mscloudtech.io · LinkedIn

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