Ahmed Boray

Member of the ISU (XR) and Artificial Intelligence Research Lab at Istinye University, contributing to research and development projects at the intersection of AI, computer vision, and immersive technologies. Involved in designing and implementing deep learning models for 2D and 3D data processing, including medical image segmentation using advanced architectures such as 3D U-Net. Participated in experimental design, dataset preprocessing, model training, optimization, and evaluation for research-grade outputs. Collaborated with multidisciplinary teams to explore real-time AI integration within XR environments, focusing on spatial understanding, object recognition, and intelligent system interaction. Gained hands-on experience in deploying machine learning pipelines using PyTorch and TensorFlow, optimizing models for performance on GPU hardware, and ensuring reproducibility of experimental results. Contributed to IEEE-indexed research work, strengthening skills in academic writing, technical documentation, and presentation of research findings. Developed a strong foundation in modular AI system design, edge deployment considerations, and the integration of perception-based AI systems with interactive platforms.

Enhanced a 3D U-Net based deep learning pipeline for pediatric cardiovascular MRI segmentation using PyTorch by optimizing model architecture, configuring advanced training parameters, and rigorously evaluating segmentation accuracy. Co-authored a multi-author IEEE publication titled “3D U-Net Based Deep Learning Approach for Pediatric Cardiovascular MRI Segmentation” by spearheading experiment iterations and conducting comprehensive result analysis.

Served as a Computer Engineering Intern at AITC Saudi Arabia, contributing to the design and implementation of a modular backend system using Python and FastAPI. Architected a layered structure separating routing, business logic, and data access to ensure maintainability and scalability. Implemented authentication, role-based authorization, project management workflows, media handling, and administrative APIs aligned with internal operational requirements. Developed and integrated asynchronous data layers and external service communication components to support storage and system coordination. Focused on writing clean, structured, and production-ready code while maintaining alignment with operational workflows and performance expectations. This experience strengthened my understanding of backend architecture, secure API design, scalable system structuring, and disciplined software engineering practices in a professional environment.