Enterprise · MENA language services · current role

AI automation inside a real enterprise

The problem

A large multi-product platform serving many roles needed to scale delivery, stay maintainable, and adopt AI to automate operational work.

A company-wide micro-frontend architecture (Module Federation) so product domains ship independently.
Lead engineering on Screens, the media-localization platform (subtitling, dubbing, voice-over) running localization end to end.
Contributions to an internal agentic-AI platform: the frontend and the system design for how AI workflows safely trigger real actions.
An MCP server that lets AI assistants call internal business systems while always enforcing the permissions of the person using them. It powers a multilingual (Arabic/English) support assistant with intent classification and RAG.
Leading the frontend of a governed, bilingual (EN/AR, full RTL) AI workspace; contributing to its fail-safe backend.

AI agentsMCP serverPermission checkCore business systems

Out-of-scope calls fail safely· fails safely

Faster, more autonomous product delivery, and a real path from “AI chat” to “AI that safely does operational work” inside a large enterprise.

I operate at senior/lead level on a large platform and bring production-grade AI automation into a real enterprise, safely.

Platform work is team work, I lead where stated and contribute elsewhere. Accuracy over inflation, always.

ReactTypeScriptNext.jsNode.jsPython/FastAPIMCPDifyRAGPostgreSQLRedis

Tell me your most repetitive task, the audit is free.