11/12/2026 updated


100 % available
Senior Backend Engineer with 6 Years of Expr Building Production Systems
Cairo, Egypt
Only remote
BSc. Electronics and Communications EngineeringAbout me
Senior Backend Engineer with 6 years building scalable APIs and web apps using Python and Node.js. I’ve helped an Oxford spin-off AI startup cut LLM infra costs by 95.5%, a Saudi hotel chain reduce customer support workload by 70–80%, and a consulting firm speed up RAG response times by 50%+.
AI AgentsLangChainApplication Programming Interfaces (APIs)DjangoPython (Programming Language)Linux AdministrationMarkdownNode.jsReact.jsFlaskBackendGitLabGitFastAPIBackend Programming
I build scalable backends and AI agent systems using Django, FastAPI, and modern API design. My work focuses on creating intelligent automation, stable infrastructures, and backend systems that help businesses cut costs, scale reliably, and handle thousands of interactions with ease.
I'm Ezz, a senior backend engineer with 6 years of experience in software engineering. I’ve helped clients reduce support workloads by 70–80%, speed up backend performance by more than 95%, and automate entire operational flows with custom AI agents.
What I Do
I design and develop:
- AI agents, chatbot systems, and automated workflows
- Backend architectures using Django, FastAPI, Celery, Redis, and cloud platforms
- REST APIs and microservices built for performance, security, and scalability
- Stripe billing systems (checkout, subscriptions, Connect payouts)
- User authentication, role management, and admin tooling
- Monitoring, logging, and performance optimization for production systems
I work with modern AI tooling (LangGraph, LLM caching, Cursor, GitHub Copilot) to deliver fast, reliable results with clean, maintainable code.
What Clients Say
“Ezzeddin helped us reduce human support efforts by 70 to 80% with a fully automated AI agent system.” “Our latency dropped by 95.5% thanks to the backend optimization he delivered.” “We automated an entire department with his help — major boost in workflow efficiency.”
Recent Work
- Built secure full-stack applications with Clerk authentication and advanced logging
- Implemented full Stripe billing flows: checkout, subscriptions, and Connect payouts
- Developed user management APIs with rate limits, audit logging, and soft deletion
- Set up Celery/Redis pipelines for scheduled and background tasks
- Engineered high-performance backends with smart LLM caching for 95% faster responses
- Deployed multilingual AI agents managing thousands of monthly customer conversations
- Created non-blocking, scalable API infrastructures ready for long-term growth
Highlighted Projects
- Hotel Chain AI System (300+ properties) Developed REST APIs that power tens of thousands of WhatsApp conversations with real-time reservation access and multilingual automation, reducing human support needs by up to 80%.
- B2B SaaS AI Platform Built a full chatbot/agent platform using LangGraph with custom knowledge bases, analytics, lead capture, and complete Stripe billing + user management.
Let's discuss how we can work together
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
ArabicNative speakerEnglishFluent
Project history
- Optimized production RAG pipeline achieving 95.5% latency reduction (90s → 4s) through Weaviate filtering, async architecture, and LLM caching with graceful failure handling
- Built full-stack e-commerce platform with Elasticsearch search, Snowflake data warehouse (star schema), and PostgreSQL-to-Snowflake/Elasticsearch ETL pipelines
- Architected retail dashboard with React, Supabase PostgreSQL (30+ models), Clerk 3-tier RBAC, and 80+ Express/Prisma API endpoints
- Engineered automated ETL pipeline ingesting Amazon SP-API data into multi-tenant PostgreSQL schema with FastAPI and SQLModel
- Built healthcare AI triage system with Kafka event streaming, GPT-4o clinical reasoning, FHIR R4 bundle generation, and fault-tolerant workflows (DLQ, idempotent processing)
- Integrated Stripe billing, DocRaptor PDF generation, and webhook handling with production-safe error recovery
- Deployed multi-agent AI system with LangGraph handling 1000+ monthly conversations, achieving 70-80% automation rate
- Built production RAG architecture integrating reservation APIs with human escalation workflows and full audit trails
- Built AI customer support SaaS (Sadiq Agent) with Django Channels, FAISS vector search, LangGraph multi-agent workflows, conversation analytics, and automated booking
• Built scalable recruitment platform with Flask microservices, PostgreSQL, and AI-powered candidate matching for real-time data processing
• Designed normalized database architecture with SQLAlchemy ORM and deployed containerized microservices on Azure Container Apps
• Evolved from PostgreSQL DBA to full backend infrastructure lead supporting AI automation workflows