Yara Bahram
Machine Learning Researcher at LIVIA - ILLS - ÉTS
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolYara 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.
10 years of coding experience
École de technologie supérieure (ÉTS)
Github Skills (9)
text-to-image7
pytorch-lightning6
generative-adversarial-network5
data-analytics5
stable-diffusion4
pytorch4
deep-learning3
image-synthesis3
dreambooth2
Programming languages (2)
Github contributions (5)
arminayat/bigdata-finalproject
Jun 2021 - Sep 2022
Contributions:16 commits, 20 pushes, 10 branches in 1 year 2 months
HooshBaaz/2022_DataAnalytics_SummerSchool
Jul 2022 - Sep 2022
This is the repo for the Data Analytics bootcamp at the University of Tehran held in the summer of 2022
Contributions:1 review, 158 commits, 13 PRs in 1 month
data-analytics
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