Nader Asadi

Member Of Technical Staff at Genmo

Old Toronto, Ontario, Canada
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Summary

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Senior
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Nader Asadi is an ML researcher and Member of Technical Staff with eight years of experience building and aligning large-scale foundation models, most recently contributing to text-to-video generation and rapid research-to-product roles at Haiper, Leonardo.Ai, and Genmo. He blends academic rigor from Mila and Concordia with hands-on industry practice at Huawei and Borealis AI, focusing on efficient training, parameter-efficient fine-tuning, decentralized learning, and robustness to distribution shifts. Nader has a track record of improving training stability and adaptive regularization for noisy time-series, and has collaborated with teams at Meta AI Research and Toyota Research. Based in Old Toronto, he combines deep research expertise with fast-moving startup execution, often working at the intersection of modular skill recombination and scalable alignment techniques.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Machine Learning, Master of Science - MS Machine Learning at Mila - Quebec Artificial Intelligence Institute
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Concordia University
bookBachelor's degree IT Engineering, Bachelor's degree IT Engineering at Shahid Bahonar University of Kerman
languagesPersian, English
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Stackoverflow

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Github Skills (8)

incremental-learning9
pytorch8
deep-reinforcement-learning7
reinforcement-learning6
elm6
federated-learning5
algorithm5
jekyll-theme3

Programming languages (1)

Python

Github contributions (5)

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Contributions:21 commits, 19 pushes, 1 branch in 19 days
naderAsadi/ViTX

Apr 2022 - Jul 2022

Contributions:130 commits, 4 pushes in 3 months
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