
Computer Vision Engineer with 4 years of hands-on experience and a solid background in classical computer vision. Currently finishing a Master's at METU Informatics Institute, with a strong ambition to excel in the intersection of Computer Vision and Large Language Models (LLMs). Developed a pipeline to improve image classification models' training process by optimizing the augmentation policies through LLMs. Highly motivated to contribute to forward-thinking teams and push the boundaries of AI research and application.
Ant Duru, Alptekin Temizel, "Adaptive Augmentation Policy Optimization with LLM Feedback", arXiv preprint, October 2024. https://arxiv.org/abs/2410.13453