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My name is Ayyuce, and I'm a machine learning engineer with a strong focus on vision transformers and medical images. Currently, I'm actively working on leveraging vision transformers for medical image analysis, aiming to contribute to the field by solving real-world problems. I hold a bachelor's degree in computer engineering and have a deep passion for machine learning.
I have extensive experience in building and deploying machine learning models for various applications. I'm particularly interested in staying up-to-date with the latest research and techniques in the field. As a dedicated learner, I consistently seek out new challenges to tackle and explore innovative approaches.
👯 Awards:
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Google Developer Expert in Machine Learning
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Microsoft Turkey Women Leaders of Technology
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Google Developer Scholarship
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Google Get Ahead Program Attendee (Ranked 16 in the Code Jam competition)
🔭 Research Publications:
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Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset, 2024 (https://link.springer.com/article/10.1007/s13755-024-00290-x)
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Generating Street Images with Bayesian Convolutional GAN (DOI: http://doi.org/10.13140/RG.2.2.26809.90723)
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Generation of Synthetic Lung Cancer Histopathological Images using Generative Adversarial Networks, PyTorch Developer Day 2021
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The Correlation Between Education Levels and COVID-19 Vaccination in Turkey(DOI: https://doi.org/10.5061/dryad.6m905qg0s)
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Comparing Tensor Processing Unit and CPU Performance for Image Classification, Journal of Computer Science and Technologies, 2020.
ORCID: 0000-0002-6731-9345
Google Scholar: https://scholar.google.com/citations?hl=en&user=J1Zh37QAAAAJ
Goodreads: https://www.goodreads.com/ayyuce
Learning 
