Ewa Matejska
Senior Technical Program Manager at Modular
California, United States
Summary
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RockstarEwa Matejska is a Senior Technical Program Manager based in California with 10 years of experience bridging machine learning engineering and program leadership. Currently at Modular, she combines product-focused program delivery with hands-on ML expertise—evidenced by her contributions to high-profile open-source TensorFlow Swift projects where she fixed tensor reshaping bugs, implemented image-resizing features with anti-aliasing, and adjusted recurrent neural network implementations. She excels at translating complex research-grade ML work into maintainable code and reproducible tutorials, a skill that helps cross-functional teams ship robust, production-ready models. Colleagues rely on her to navigate compiler quirks and subtle tensor-shape issues that often block deployment, making her especially effective at unblocking ML infrastructure and developer experience challenges.
10 years of coding experience
Github Skills (13)
machine-learning10
swift10
differentiable-programming10
develop10
deep-learning10
tensorflow10
image-processing9
n9
rnn-model9
modeling8
trainings8
testing7
api-documentation7
Programming languages (7)
Github contributions (5)
tensorflow/swift
Sep 2019 - Feb 2021
Swift for TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 59 commits, 64 PRs in 1 year 5 months
Contributions summary:Ewa primarily contributed to the Swift for TensorFlow project, making several changes related to tutorials and examples. Their work involved updating existing tutorials like "custom_differentiation" and "introducing_x10," including code modifications and dependency updates. The user also made modifications to documentation, and the overall contributions indicate an understanding of, and involvement with, the core concepts and practical applications within the TensorFlow framework using Swift.
differentiable-programmingswift-for-tensorflowmachine-learningswifttensorflow
tensorflow/swift-apis
Feb 2020 - Aug 2020
Swift for TensorFlow Deep Learning Library
Role in this project:ML Engineer
ML EngineerContributions:10 commits, 19 PRs, 14 pushes in 5 months
Contributions summary:Ewa primarily contributed to the Swift for TensorFlow deep learning library. Their work involved fixing bugs related to reshaping tensors and addressing issues with the availability of tensor shapes. They implemented and refined image resizing functionalities, including various methods and anti-aliasing options. Moreover, the user was involved in reverting and re-implementing workarounds related to compiler issues and made changes to the recurrent neural network implementations.
differentiable-programmingswift-for-tensorflowdeep-learningmachine-learningdeep-learning-library
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