✨ My name is Ayyuce, and I'm a machine learning engineer and researcher with a focus on vision language models, vision transformers and large language models. Currently, I'm actively working on vision language models for medical image analysis. I hold a bachelor's degree in computer engineering. I'm particularly interested in staying up-to-date with the latest research and techniques in the field. As a dedicated learner, I'm always looking for new challenges and exploring innovative approaches.
🤖 Machine Learning: Convolutional Neural Networks, Vision Transformers, Transformers, Multimodal Models, Large Language Models, Self-Supervised Learning, Contrastive Learning, Retrieval-Augmented Generation, Instruction Tuning, Reinforcement Learning from Human Feedback, Group Relative Policy Optimization
👩🏻💻 Programming Languages:
📚 Libraries and 🛠️ Tools:
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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)
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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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Comparing Tensor Processing Unit and CPU Performance for Imag 8FAE e Classification, Journal of Computer Science and Technologies, 2020.
