Hi, I'm Mohammad,
an ML Engineer from Toronto.

 I'm interested in improving the training efficiency of DNNs.

As a Machine Learning Engineer at Apple, I'm currently focusing on developing Multi-Modal Attention models that can run on edge devices. Previously, I led Software teams at a few successful Iranian startups. 

Featured Works

Collaborator and Maintainer
CVNets is a high-performance opensource toolkit for efficient training of computer vision deep learning models. CVNets trains models of better or similar performance with fewer optimization updates.
As a maintainer of the CVNets repository, I add models, and improve the flexibility, modularity, and reproducibility of the training and evaluation pipelines.

Machine Learning Software Engineer II
Backed by RBC, the largest bank of Canada, Borealis AI is a research company that develops machine learning models for RBC businesses.
In a collaboration with RBC Capital Markets, I developed a stocks return prediction model training pipeline. The key performance metrics and statistics of model's internal variables were visualized through a flexible dashboard.

Full-stack Software Engineer
With >5M orders fulfilled, Ostadkar is a successful Iranian home services online marketplace.
Reporting to the CTO, in addition to designing and developing the software, I coached the engineering to grow from 3 developers to 10.

Further works

This section is under construction 🚧. In the meanwhile please feel free to checkout my LinkedIn profile for further information.