Eylül Appak

I am a Master’s student in Artificial Intelligence and Machine Learning at TU Darmstadt, with a Bachelor’s in Software Engineering from Yaşar University, where I graduated second in my department. I served as vice chairwoman of the IEEE Women in Engineering committee, organizing technical events and managing administrative tasks. My internships strengthened my skills in mobile and game development (Flutter, PHP, MySQL), energy optimization for solar-powered IoT devices, and NLP-based product classification (Java, Python, PostgreSQL). For my Bachelor’s thesis, I co-developed a method to classify English words into CEFR levels using linguistic features, data preprocessing, feature selection, and a tuned XGBoost model. During my Master’s, I contributed to a project evaluating the SPACE+MOC object extraction method on Atari games, improving classification with X-means. In another project, we tested the robustness of a visual grounding model (GLIP) on perturbed Flickr30k images, identifying effective attack strategies.