Sia Rezaei
Member Of Technical Staff at Cerebras Systems
West Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolSia Rezaei is a Member of Technical Staff at Cerebras Systems with 11 years of experience building production-ready ML and systems software across startups, research hospitals, and hardware companies. She specializes in deep learning, computer vision, and backend systems—bringing models from research prototypes to optimized, parallelized training pipelines and clinical-grade inference. Her background includes founding a hardware startup, leading acoustic and electronics engineering efforts, and shipping embedded robotics and cloud-connected products, which gives her a rare full-stack perspective on ML system design. As an open-source contributor to OpenMined/PySyft, she has improved core tensor operations that enable privacy-preserving data science, showing comfort with low-level numerical APIs as well as high-level model tooling. Based in West Vancouver, she pairs entrepreneurial grit with methodical experimentation and data-centric engineering practices honed across healthcare and commercial domains. Colleagues rely on her to translate complex research into reproducible, scalable deployments.
11 years of coding experience
11 years of employment as a software developer
Toronto Metropolitan UniversityBachelor of Applied Science (B.A.Sc.), Systems Engineering, Bachelor of Applied Science (B.A.Sc.), Systems Engineering at Simon Fraser University
English, Persian
Stackoverflow
437reputation
42kreached
3answers
7questions
Github Skills (13)
tensorrt10
tensor10
tensorflow10
python10
operation10
numpy10
federated-learning8
pytorch7
binding6
css6
activation-function6
exceptions6
indexing6
Programming languages (6)
Github contributions (5)
OpenMined/PySyft
Aug 2017 - Nov 2017
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Back-end DeveloperContributions:62 commits, 27 PRs, 11 pushes in 2 months
Contributions summary:Sia primarily contributed to the `pysyft` project by adding and updating methods for the `TensorBase` class, which is central to the project's functionality. The user's work involved implementing methods such as `cumprod`, `scatter`, `gather`, `index_select`, and `masked_scatter`, demonstrating a focus on enhancing tensor operations. They also updated existing methods and refactored code to ensure better coding standards and compatibility.
pytorchcryptographyacquiringpythonscience
siarez/siarez.com
May 2017 - Aug 2023
Contributions:1 PR, 73 pushes, 1 branch in 6 years 4 months
pythonventuresartificialmachine-learningentrepreneurship
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