Conversational Ordering SaaS
A multi-tenant SaaS enabling restaurant ordering via an LLM chatbot on WhatsApp — with menu management, order tracking, WhatsApp Catalog and Flow.
AI Engineer
I design and build end-to-end AI pipelines for NLP and generative AI — from RAG systems and LLM fine-tuning to real-time voice agents — deployed at scale on AWS.

01 — About
I'm an AI Engineer based in Beirut, Lebanon, with a background in Computer & Telecommunications Engineering from the Lebanese University. I specialize in building intelligent systems that combine large language models, retrieval-augmented generation, and real-time voice technology.
At White Stork, I design scalable AI pipelines using AWS AI/ML services and integrate OpenAI models into enterprise applications — optimizing everything from data workflows to production LLM deployments, and collaborating across teams to deliver intelligent automation and AI-powered user experiences.
B.S. Computer & Telecommunications Engineering
Lebanese University, Beirut · 2024
General Sciences High School Diploma
Moussa & Ismail Abbas Official H.S. · 2019
02 — Experience
2024 — Present
White Stork · Beirut
2022
Ogero · Beirut
03 — Projects
A multi-tenant SaaS enabling restaurant ordering via an LLM chatbot on WhatsApp — with menu management, order tracking, WhatsApp Catalog and Flow.
A real-time WhatsApp calling agent built with LiveKit, Asterisk, and Pipecat for natural voice conversations.
A LiveKit-based agent for real-time multilingual speech translation, supporting multiple STT, translation, and TTS providers.
An agent-based trip planner with tool usage that generates complete itineraries in a structured JSON format.
A multimodal text-to-image search system with an agentic RAG mode that recommends outfits based on user preferences.
An AI agent using retrieval-augmented generation to surface relevant Arabic news articles from a large corpus via Pinecone vector search.
04 — Skills