Zahra Golpayegani
Researcher at Huawei Canada
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolZahra Golpayegani is a researcher and machine learning engineer with nine years of experience specializing in robustness and real-world readiness of computer vision and large language models. Currently at Huawei Canada after multiple roles at Zetane Systems and research positions at Concordia University, she bridges academic rigor with industry-focused tooling for model visualization, debugging, and evaluation. Her MASc in Quality Systems Engineering informs a systems-level approach to reliability and deployment challenges that often get overlooked in ML research. Comfortable moving between core research and applied engineering, she has a track record of making models more robust under unpredictable conditions while enabling teams to inspect and trust their AI.
9 years of coding experience
3 years of employment as a software developer
Amirkabir University of TechnologyMASc, Quality Systems Engineering, A, MASc, Quality Systems Engineering, A at Concordia UniversityMathematics, Mathematics at Farzanegan 1 Highschool
English, Persian
Github Skills (32)
segmentation10
image-processing9
image-segmentation9
image-augmentation9
object-detection8
python8
docker-compose8
albumentations8
image-classification8
instagram7
docker-image7
golang7
machine-learning7
deep-learning7
docker7
Programming languages (3)
Github contributions (5)
zahragolpa/Food9K
Oct 2020 - Oct 2020
Contributions:14 commits, 13 pushes, 1 branch in 1 day
zahragolpa/robust_data
Jul 2023 - Jul 2024
Contributions:8 pushes, 1 branch in 11 months
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