Agata Radys is a Senior Software Developer based in Gdańsk with five years of experience building data-heavy Angular web applications for deep learning model optimization at Intel. She designs and implements UX-focused frontends that visualize complex model graphs and large-scale benchmark data, blending her interests in frontend, UX, graphic design and machine learning. At Intel she has led feature design, gathered stakeholder requirements, and improved usability on high-profile open-source tooling—contributing front-end enhancements to the neural-compressor project’s LPOT GUI. Her background in mathematics and informatics informs a disciplined, data-driven approach to UI/UX for ML tooling, while her early work in graphic design and marketing gives her an uncommon edge in crafting clear, user-centered interfaces.
5 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Politechnika Gdańska
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
Role in this project:
Full-stack Developer
Contributions:10 reviews, 32 commits, 28 PRs in 1 year 8 months
Contributions summary:Agata appears to be primarily involved in the development of the LPOT UX GUI. They worked on expanding the configuration wizard by adding expandable graphs to search for input/output nodes. Further contributions include GUI fixes and a new layout, along with documentation updates, indicating a focus on user interface improvements and overall usability. The commits indicate work on frontend UI elements.
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Agata Radys - Senior Software Developer at Intel Corporation