Dominika Jedynak
Senior Software Development Engineer at AMD
Krakow, Lesser Poland Voivodeship
Summary
🤩
Rockstar🎓
Top SchoolDominika Jedynak is a Senior Software Development Engineer with six years of experience specializing in deep learning frameworks and performance-focused backend engineering. She has progressed from an intern to senior roles at Intel and now AMD, working on quantization, oneDNN integration, and efficient handling of large tensors for projects like the widely used Apache MXNet. With a strong academic foundation in computer mathematics from Jagiellonian University and exchange studies at KU Leuven and Universitat de Barcelona, she blends rigorous theory with production-grade implementation. She has also taught university courses, signaling an ability to communicate complex topics clearly. Notably, her open-source contributions fixed subtle quantization bugs and unified post-quantization behavior—work that improves real-world deployment of quantized models.
6 years of coding experience
3 years of employment as a software developer
Exchange program studies, Faculty of Science, Exchange program studies, Faculty of Science at KU LeuvenBachelor, Computer Mathematics, Faculty of Mathematics and Computer Science, 5, Bachelor, Computer Mathematics, Faculty of Mathematics and Computer Science, 5 at Jagiellonian University in CracowMaster, Computer Mathematics, Master, Computer Mathematics at Jagiellonian UniversityExchange program studies, Faculty of Mathematics and Computer Science, Exchange program studies, Faculty of Mathematics and Computer Science at Universitat de Barcelona
English, Spanish, Polish
Github Skills (10)
convolution10
quantization10
mxnet10
machine-learning10
deep-q-learning10
c-language10
deep-learning10
edn10
cprogramming-language10
python10
Programming languages (2)
Github contributions (5)
apache/mxnet
Nov 2021 - Jul 2022
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 reviews, 12 commits, 15 PRs in 8 months
Contributions summary:Dominika primarily focused on improving the performance and functionality of the `mxnet` deep learning framework. They addressed a bug in the quantized batch_dot operation and unified post-quantization properties within the oneDNN integration, enhancing the efficiency of quantized operations. Their work also involved integrating dequantization with convolution, improving the framework's handling of quantized models. Furthermore, they contributed to the documentation regarding large tensors and fixed type issues related to the integration.
pythonschedulerdataflowmutationdata-science
DominikaJedynak/AI_music_project
Apr 2020 - Nov 2022
Contributions:19 pushes, 1 branch in 2 years 7 months
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