Reyhane Askari
Qom Province, Iran, Islamic Republic of
Summary
🤩
Rockstar🎓
Top SchoolReyhane Askari is a UI/UX web designer and software engineer with 11 years of experience based in Qom, Iran. She blends front-end design sensibilities with back-end engineering rigor, having contributed bug fixes and performance improvements to high-profile open-source projects like Theano and test automation for Lasagne. Her work on tensor optimizations and gradient correctness reveals a knack for improving numerical libraries behind machine learning stacks—an uncommon strength for a designer. Comfortable across the stack, she pairs user-centered interfaces with reliable, well-tested code and a demonstrated ability to simplify complex mathematical logic.
11 years of coding experience
University of Qom
Github Skills (16)
algorithm10
neural-network10
tensorrt10
tensor10
tensorflow10
pytest10
operation10
optimizers10
python10
optimisation10
theano10
optimization10
testing10
numpy9
numerical-computing8
Programming languages (4)
Github contributions (5)
Theano/Theano
Nov 2016 - Sep 2017
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
Back-end Developer
Back-end DeveloperContributions:165 commits, 33 PRs, 3 pushes in 10 months
Contributions summary:Reyhane primarily contributed to the Theano library by removing redundant code and fixing bugs related to tensor operations and optimizations. They focused on improving the efficiency and correctness of gradient calculations, particularly regarding useless sums and broadcasted vectors. Their contributions involved modifying several core files, including those for tensor operations, optimizations, and testing, indicating a focus on improving the library's performance and functionality. They also addressed an issue with the join function in the library.
python-librarymathmulti-dimensionalpythonevaluate
Lasagne/Lasagne
May 2017 - Jul 2017
Lightweight library to build and train neural networks in Theano
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 5 PRs, 48 comments in 1 month
Contributions summary:Reyhane primarily contributed to the testing framework of the Lasagne library, a library for building and training neural networks. They added and modified tests for various components, including parameter creation, layers, and GPU-related functionality. Their changes involved refining existing tests, incorporating `np.allclose` for numerical comparisons, and adapting tests to accommodate changes in the underlying Theano backend. The user also added checks to ensure the correct usage of input keys.
pythondeep-learningtheanoneural-networksdeep-learning-library
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