Intelligence is an emergent property of systems that learn. I'm interested in building those systems.
My work sits at the intersection of research and engineering—developing evaluation frameworks, training novel models, and building infrastructure that pushes the boundaries of what AI systems can understand and generate.
Research Interests
Reasoning & Model Evaluation
Developing frameworks to measure and improve how language models reason, decompose problems, and chain thoughts. Building synthetic data to teach models structured thinking.
Multilingual Evaluation & Cross-Lingual Transfer
Developing evaluation frameworks and transfer learning techniques that enable models to generalize across languages and cultural contexts.
Multimodal AI
Audio-based generative AI, cross-modal understanding, and developing datasets for under-explored modalities in state-of-the-art models.
Experience
Software Engineering Intern
Building synthetic reasoning chains to teach models how to think.
Software Engineering Intern
Teaching language models to extract structure from chaos.
Machine Learning Research Assistant
Probing what audio models really understand beyond transcription.
Machine Learning Research Assistant
Learning representations that transfer across linguistic boundaries.
Machine Learning Research Assistant
Teaching models to segment images without supervision or labels.
Publications
CuLEmo: Cultural Lenses on Emotion
Benchmarking LLMs for Cross-Cultural Emotion Understanding. T. D. Belay, Ahmed Haj Ahmed, A. Grissom II, et al.
Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection
Ahmed Haj Ahmed, R. Yew, X. Minocher, S. Venkatasubramanian.