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 (6)

incremental-learning8
pytorch7
jekyll3
jekyll-theme3
responsive2
github-pages1

Programming languages (1)

Python

Github contributions (5)

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

Nov 2021 - Feb 2023

A PyTorch framework for Continual Learning research.
Contributions:121 commits, 3 PRs, 26 pushes in 1 year 2 months
continual-learningincremental-learninglifelong-learningpytorch
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Nader Asadi - Member Of Technical Staff at Genmo