Weronika Hryniewska-guzik
Senior Researcher (AI) at Huawei
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolWeronika Hryniewska-guzik is a PhD-trained AI researcher with nine years of experience specializing in deep learning, computer vision and explainable AI, currently driving LLM optimizations as a Senior Researcher at Huawei. She defended a dissertation on representation learning for medical images and XAI and has a strong track record of interdisciplinary collaboration with medical practitioners and academic visits focused on diffusion models and eye-tracking. Her background spans research scientist roles, teaching and thesis supervision at Warsaw University of Technology, and hands-on experience in both industry (Samsung) and academia, combining practical code optimization with rigorous scientific methods. Comfortable across Python, Linux and experiment-tracking tooling, she’s motivated by fast-evolving AI and seeks roles with employment contracts that support professional growth. An often-overlooked strength is her blend of applied engineering and explainability research, enabling trustworthy ML solutions for sensitive domains like medical imaging.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Politechnika ŁódzkaWarsaw University of Technologyexchange student, MSc Project, exchange student, MSc Project at University of HertfordshireXIV LO im. Stanisława Staszica w Warszawie
Polish, English, German, Spanish, Chinese
Github Skills (21)
crossword7
dm7
spring3
python-bindings3
kmeans3
machine-learning3
wsi3
java2
lda2
image-stitching2
pydicom2
image-analysis2
toolbox2
python2
pytorch2
Programming languages (6)
Github contributions (5)
MI2DataLab/LIMEcraft
Nov 2021 - Jan 2023
LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations
Contributions:1 release, 7 commits, 1 PR in 1 year 2 months
crosswordinspectionexplanationsdmsuperpixel
MI2-Education/2022L-WB-data
Jan 2022 - Jun 2022
Case Study course for DS studies in Summer 2021/2022
Contributions:21 reviews, 65 commits, 21 PRs in 5 months
summer2021-2022
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