About Me

Born and raised in the Bekaa Valley of Lebanon, I grew up fascinated by physics, mathematics, and how things work. After earning my Lebanese Baccalaureate in General Science from Collège Saint Joseph - Zahle, I moved to Beirut to study Software Engineering at USJ-ESIB.

During my engineering degree, I discovered machine learning and never looked back. Starting with computer vision projects: vine detection from satellite imagery, sentiment analysis with BERT, I quickly transitioned to deploying real-time inference on NVIDIA Jetson devices at Decentra Tech.

At Mobile Arts, I scaled ML to production on AWS: content moderation services, anomaly detection pipelines on Lambda, and predictive engines on SageMaker. This experience cemented my passion for building ML systems that deliver real business value.

The emergence of large language models shifted my focus toward multi-agent systems. At MOPO, I co-architected a multi-LLM orchestration platform with RAG pipelines and knowledge graphs. As a freelance consultant, I built RAG chatbots, sales copilots, and voice-to-JSON agents for startups across Paris, Beirut, and San Francisco.

In parallel, I pursued a Master's in Data Science & AI Strategy at emlyon business school, with an exchange semester at McGill University in Montreal. My end-of-studies internship at Savencia applied causal inference to optimize industrial manufacturing processes.

Today, I consult on AI-powered SaaS products at Supportful, building multi-agent systems with LangGraph for B2B sales intelligence and sports facility management.