I've spent 10+ years in software engineering, working across Python, TypeScript and C#/.NET, and I ship cloud-native AI platforms on AWS and Azure.
I've shipped production AI to enterprise customers, including Gulf-region government ministries. I formally led a 5-person cross-functional team through a startup's growth phase, and I ship full-stack products solo. Right now I'm focused on production agentic AI, RAG at scale, LLMOps, and AI-assisted engineering done with real discipline.
Every number carries a receipt. Executives ask in plain language. The model decides what to ask, a deterministic engine does the math, and any claim without a receipt is rejected. Solo build, 2026. |
At DXWand: enterprise retrieval in production for 7-10 customers, then the agentic SaaS on top of it. Cut LLM cost per conversation by 73% across 840 agents, proven on a frozen suite at 95% confidence before rollout. |
A paid AI SaaS I built and run solo. A statistical eval harness gates every prompt change, and 53 integration test files gate every deploy. Live at careerrafeeq.com. |
Open source: agentic-methodology - the Claude Code harness I built the analyst with. Rules, skills, hooks and evidence-dated facts, derived from real installations.
- Egyptian Ministry of Justice - real-time speech-to-text with speaker identification for the court system, selected by the Minister and deployed across several dozen courtrooms.
- Egyptian Cabinet IDSC - semantic legislation search, delivered as prime vendor from pre-sale through handoff.
- Cogent - an Arabic-dialect NLP chatbot SaaS that handled 100K+ monthly sessions at 91% intent accuracy (since retired).
- AI and LLM systems - production RAG, multi-agent systems with tool calling, orchestration with LangGraph, LangChain and LlamaIndex, MCP tool gateways.
- AI operations and safety - LLMOps, evaluation harnesses, guardrails, verifiable-evidence architectures, human-in-the-loop review.
- Cloud-native backends - services in Python, TypeScript and C#/.NET; microservices, event-driven and serverless on AWS and Azure; release engineering and repository governance at estate scale.
- Full-stack, solo - strict TypeScript with React or Svelte, owning a product end to end.
- Engineering leadership - team management, hiring, mentoring, architecture and code review, engineering standards.
Stack as plain text
AI engineering: Production RAG, Agentic systems, Multi-agent systems, Tool calling, Reasoning chains, Generative AI, LLM applications, Vector and semantic search, Prompt engineering, LLM cost optimization, Arabic NLP
AI operations & safety: LLMOps, Evaluation harnesses, Guardrails, Hallucination mitigation, Verifiable-evidence architectures, Human-in-the-loop review, Row-level security, Audit trails
AI tooling: LangGraph, LangChain, LlamaIndex, MCP (Model Context Protocol), IBM ContextForge, OpenAI API, Langfuse, Weaviate, Azure AI Search, Neo4j, Temporal, n8n
Code: Python, TypeScript, C#, .NET, ASP.NET Core, SignalR, FastAPI, Node.js, React, Svelte, GraphQL, REST APIs, OAuth 2.0, JWT, RBAC
Architecture: Microservices, Event-driven architecture, Serverless, Distributed systems
Cloud: AWS (EKS, Lambda, Bedrock, CDK, App Runner, EC2, ECR, S3, RDS, SQS, SNS, CloudWatch, IAM, Secrets Manager), Azure (AKS, Functions, App Services, API Management, Service Bus, Azure SQL, Key Vault, Entra ID)
DevOps & observability: Docker, Kubernetes, GitHub Actions, Azure DevOps, CI/CD, Git, Prometheus, Application Insights
Data & messaging: PostgreSQL, SQL Server, MongoDB, Redis, Elasticsearch, Azure Cosmos DB, Apache Kafka, RabbitMQ
Builds with: Claude Code, Codex, GitHub Copilot
Leadership: Cross-functional team management, Hiring, Mentorship, Code and architecture review, Engineering standards, Release engineering, Stakeholder communication, Service delivery
Based in Cairo, working remotely | Arabic (native), English (full professional) | B.Sc. Computer Science, Helwan University