About Me

I am Fida Ur Rahman, a Software Engineering graduate with a strong background in artificial intelligence, deep learning, and computer vision. My work spans research-oriented AI projects and practical software development, with a focus on building robust, real-world solutions.

Research & Expertise

• Artificial Intelligence & Deep Learning — Designing and training neural network architectures (CNNs, Transformers, GNNs) for classification, detection, and generation tasks
• Computer Vision — Object detection, image segmentation, and generative image models using PyTorch and TensorFlow
• Natural Language Processing — Sequence modeling, feature extraction, and transformer-based models
• Android Development — Building production-grade mobile applications with Kotlin and the Android SDK
• Software Engineering — System design, version control (Git), containerization (Docker), and clean code practices

Selected Work

My published research includes a multi-modal AI framework for credit card fraud detection (ICRIRET 2026, Konya, Turkey), combining Transformer and Graph Neural Network architectures to achieve 99.2% recall and an AUC of 0.996.

Projects I have built include an AI-powered fraud detection system, a palm-line detection model using YOLOv8, a cardiac risk prediction system, and a sketch-to-image translation network. See Projects and Publications for details.

Get in Touch

I am open to research collaborations, AI engineering roles, and technical discussions. Reach me at fidaurrahman700@gmail.com, on LinkedIn, or on GitHub.