Mehrad Moradshahi
PhD Candidate
Palo Alto, California, United States
Summary
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RockstarMehrad Moradshahi is a PhD candidate based in Palo Alto with nine years of software engineering experience focused on machine learning and practical model engineering. He contributes to high-impact open-source projects like the MT-DNN repository, improving training robustness by adding resume-training and stricter model-loading behaviors that reduce friction in long-running experiments. Combining academic rigor from his doctoral work with hands-on ML engineering, he specializes in strengthening training pipelines and model management for research-to-production workflows. Known for pragmatic improvements that scale across collaborators and checkpoints, he bridges deep learning research and reproducible engineering practices.
9 years of coding experience
Github Skills (11)
pytorch10
deep-learning10
bert10
modeling9
trainings9
resource-loading9
preloading9
data-loading9
nlp8
natural-language-processing8
python8
Programming languages (6)
Github contributions (5)
namisan/mt-dnn
Jul 2019 - Aug 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 3 PRs, 1 push in 21 days
Contributions summary:Mehrad primarily contributes to the training and model loading functionalities of the MT-DNN model. They added a "resume training" option to the training script, enabling the continuation of training from a specified checkpoint. Additionally, the user updated the model loading process, making it more robust by incorporating strict mode for handling missing or extra parameters during model loading. These modifications suggest a focus on improving the training pipeline and model management within the multi-task deep neural network framework.
deep-neural-networksnatural-language-understandingmulti-task-learningdeep-learningmicrosoft
stanford-oval/SPL
Jul 2020 - Mar 2021
Semantic Parser Localizer (SPL) code repository
Contributions:18 commits, 38 pushes, 1 comment in 7 months
parserspl
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