✨ 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:

• Google Developer Expert in Machine Learning

• Microsoft Turkey Women Leaders of Technology

• Google Developer Scholarship

• Google Get Ahead Program Attendee (Ranked 16 in the Code Jam competition)

• 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)

• Generating Street Images with Bayesian Convolutional GAN (DOI: http://doi.org/10.13140/RG.2.2.26809.90723)

• Generation of Synthetic Lung Cancer Histopathological Images using Generative Adversarial Networks, PyTorch Developer Day 2021

• The Correlation Between Education Levels and COVID-19 Vaccination in Turkey(DOI: https://doi.org/10.5061/dryad.6m905qg0s)

• Comparing Tensor Processing Unit and CPU Performance for Image Classification, Journal of Computer Science and Technologies, 2020.