LYNN EL
MOUSSAOUI
AI Engineer & Researcher
I'm an AI engineer and researcher based in Beirut. I like the part of AI where an idea has to survive contact with actual code, hardware, and constraints. I build and experiment with LLM systems, graph learning, edge AI, and hardware/software co-design. A lot of my work is about understanding what makes these systems useful, efficient, and actually runnable outside ideal conditions. I also spend a questionable amount of time learning cryptography.
ML & Research
Currently Learning
Systems & Infra
Leapo · SocialLab · Lebanon
AI Training & Research Associate
Building and prototyping applied AI solutions across LLM systems, edge AI, and hardware/software co-design. My work spans Python development, model integration, experimentation, evaluation, and translating research objectives into working prototypes. I also coordinate technical projects, mentor interns, and contribute to AI training programs and workshops.
Previously
AI Economic Pulse · Remote
AI Engineer
Jun 2025 – Dec 2025
ZAKA AI · Lebanon
Technical Ambassador
Apr 2023 – May 2026
Monty · Lebanon
Data Science Intern
Jan 2024 – May 2024
OBSoft · Lebanon
Data Science Intern
May 2023 – Jun 2023
BTekUp · Lebanon
AI Intern
Feb 2023 – Apr 2023
Lebanese Red Cross · Lebanon
Volunteer
Jan 2021 – Dec 2024
Degrees and academic training.
Saint Joseph University of Beirut — ESIB
Lebanon
Specialization in applied machine learning, knowledge systems, and scalable AI infrastructure. Thesis: GNN-Assisted Power Packet Routing for Energy Internet Networks.
Saint Joseph University of Beirut — Faculty of Science
Lebanon
Specialization in Data Science. Final year research project on dimensionality reduction of infrared spectra using genetic algorithms.
Things I've built and shipped.
Paste any public GitHub repo and get an instant AI-powered audit, maps the architecture, scores MLOps health, and surfaces actionable improvement recommendations.
Turns marketing documents into a fast, searchable knowledge base. Uses OpenAI embeddings + ChromaDB for instant retrieval and a RAG pipeline for context-aware responses, so teams get consistent answers from their own content.
MSc thesis hybrid GNN/GAT + multi-agent system for intelligent power-packet routing in Energy Internet networks.
Hands-on AI sessions across universities and organisations.
Technical writing on AI, MLOps, and systems.
Research, press, and public impact.
IEEE MENACOMM 2025 LAU BYBLOSIEEE MENACOMM 2025 LAU BYBLOS
IEEE research paper proposing a federated framework for context-aware data quality assessment in IoT and wireless sensor networks.
Read the paper↗
L'Orient-Le JourL'Orient-Le Jour
Featured in L'Orient-Le Jour (2024) for efforts to make artificial intelligence concepts accessible to the public.
Read the article↗
ICONET 2026ICONET 2026
Authors: Hadi Fadlallah, Lynn El Moussaoui
IECON 2026IECON 2026
MSc thesis research on GNN-assisted power packet routing with multi-agent reservation for Energy Internet networks.
