Summary
Yara Bahram is a Machine Learning Researcher based in Montreal with a decade of experience building customized and efficient generative models, particularly in multimodal settings. She focuses on practical research that bridges model efficiency and real-world application, delivering solutions that balance performance with resource constraints. Currently tied to École de technologie supérieure since 2024, she combines academic rigor with hands-on engineering to push generative systems toward production readiness. Known for crafting tailored model architectures and optimization strategies, she brings a systems-minded approach to research problems that often require interdisciplinary thinking. Quietly ambitious, she pairs deep technical expertise with a pragmatic drive to make generative AI more adaptable and cost-effective for diverse use cases.
9 years of coding experience
École de technologie supérieure (ÉTS)