Rza User

I am a Computer Systems graduate focusing on backend development and deep learning, with hands-on experience building production-style services and research-grade neural models. I enjoy solving real-world problems by combining solid software engineering with modern ML techniques.

As a Deep Learning Engineer at Skolyn, I implement and compare 3D CNN and ViT-based architectures for whole-brain NCCT classification, applying transfer learning and tuning models to detect subtle texture and density differences. My work emphasizes reproducible training, careful model selection, and measurable performance improvements.

My BSc thesis and projects include a PyTorch-based dual-headed residual CNN for Gomoku trained on 5M positions, a real-time OpenCV hand-tracking cursor control system, and a Java Spring Boot wedding planner backend with PostgreSQL. These projects demonstrate full-stack thinking, real-time inference, and robust backend design.

I am fluent in Python and Java, experienced with TensorFlow, PyTorch, Spring Boot, SQL databases, Docker, and MLflow, and I pursue practical learning through hackathons and certifications. I seek roles where I can contribute to model development, backend reliability, and scalable ML deployment while continuing to learn.