I am currently an M.Sc. student in Artificial Intelligence at Universitat Politècnica de Catalunya (UPC), Barcelona. I previously earned a B.Sc. in Electronics and Communication Engineering from Istanbul Technical University.
My main research interests are computer vision, continual learning, and diffusion-based generative models, with a broader focus on building robust systems that remain reliable when data distributions shift.
I have gained hands-on experience in computer vision focused on developing and evaluating deep learning models for real-world image and video understanding tasks. In parallel, I have also worked on applied AI systems, including LLM-based workflows that combine retrieval and generation for practical automation use cases.
At N3Cat, I am currently exploring how transformer workloads can be partitioned and mapped onto tiled in-memory computing architectures, studying performance–efficiency trade-offs under practical system constraints.
I am currently an M.Sc. student in Artificial Intelligence at Universitat Politècnica de Catalunya (UPC), Barcelona. I previously earned a B.Sc. in Electronics and Communication Engineering from Istanbul Technical University.
My main research interests are computer vision, continual learning, and diffusion-based generative models, with a broader focus on building robust systems that remain reliable when data distributions shift.
I have gained hands-on experience in computer vision focused on developing and evaluating deep learning models for real-world image and video understanding tasks. In parallel, I have also worked on applied AI systems, including LLM-based workflows that combine retrieval and generation for practical automation use cases.
At N3Cat, I am currently exploring how transformer workloads can be partitioned and mapped onto tiled in-memory computing architectures, studying performance–efficiency trade-offs under practical system constraints.