I am a passionate Senior Computer Science and Engineering student at the American University of Beirut with a strong foundation in artificial intelligence and machine learning. My research interests include large language models (LLMs), reinforcement learning from human feedback (RLHF), retrieval-augmented generation (RAG), active learning, and test-time fine-tuning. I am broadly interested in advancing AI capabilities and exploring their applications across diverse domains such as healthcare, education, and beyond.
Education
Bachelor of Engineering in Computer Science(CSE)
American University of Beirut
- AI and data science concentration area
- Minor Mathematics
- President of the Financial Intelligence Club
- Founding member and lecturer at AI Journey
Experience
Research Assistant
University of British Columbia
Advised by Dr. Danica Sutherland and working closely with Dr. Wonhoe Bae, we explored active learning for preference alignment and test-time fine-tuning. My work focused on the use of herding models and Gaussian Process uncertainty measurements to enhance large language models' ability to retrieve relevant documents for user queries and adapt their performance dynamically across tasks.
Research and Development
Maroun Semaan Faculty of Engineering and Architecture
Worked with Professor Ammar Mohanna to develop an agentic RAG-based advising system that scrapes all university resources to answer any student question—from course instructors to office locations. The project won the Best Project Award in the AI in Industry course and is now being extended as our FYP, set to launch for 1,000+ students.
Undergraduate Researcher
American University of Beirut
Conducted research on Optimizing Deep Neural Networks via Safety-Guided Preservation Sets (arXiv preprint), under the supervision of Professor Ammar Mohanna. The project introduced a novel compression framework that enhances generalization and reduces variance through preservation-driven quantization. This work was recognized among the Top 10 papers in the IEEE Student Paper Competition.
Undergraduate Researcher
American University of Beirut
Designed a multi-agent retrieval system where a master model routes queries to section-specific agents for targeted question answering. Developed a progressive graph-building mechanism that incrementally expands document knowledge graphs with structured answers and source references, improving multi-hop reasoning and document comprehension.