Soroush Mahdi
Associate Researcher
Tehran, Iran
Summary
👤
Senior🎓
Top SchoolSoroush Mahdi is a research-focused AI engineer with nine years of experience advancing 3D computer vision and vision–language models across academia and industry. He co-developed MODE-TTA, a test-time adaptation framework for 3D vision–language foundation models using class-conditional Gaussian Mixture Models, and implemented extensive LiDAR benchmark pipelines at the University of Sydney. With an M.Sc. in Artificial Intelligence from Amirkabir University of Technology, his master's thesis introduced a practical approach to improving adversarial robustness by reusing generated attacks during training. He has applied deep learning to real-world problems from credit scoring to face anti-spoofing and blink-detection, demonstrating a balance of theoretical rigor and production-minded engineering. Based in Iran, Soroush combines expertise in 3D reconstruction and robust vision models with a knack for turning research prototypes into validated experimental systems.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Bu-Ali Sina UniversityAmirkabir University of TechnologyHigh School Diploma, Mathematics, High School Diploma, Mathematics at Allameh Helli school
English, Persian
Github Skills (11)
financial-data5
stock4
orientation4
exchange4
pose4
python4
finance3
data-exchange2
rotation2
pytorch2
pose-estimation1
Programming languages (1)
Github contributions (5)
soroush-mim/robustSCL
Dec 2022 - Aug 2023
Contributions:60 pushes, 2 branches in 7 months
soroush-mim/soroush-mim
Aug 2023 - Jan 2024
Contributions:7 pushes, 1 branch in 5 months
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