Ph.D. candidate in Computer Science, specializing in computer vision, object detection in the remote sensing domain. Experienced in building end-to-end deep learning pipelines for small-object detection, hyperspectral crop anomaly detection, and post-disaster satellite image analysis. Strong software engineering background with 6+ years of industrial experience in C#, .NET, SQL, and REST APIs, with current work using Python, PyTorch, Flower, Docker, and Linux VM environments for reproducible Federated Learning simulation. Published researcher with work in IEEE Access, CVPRW, CAC, and HICSS.