Earned NVIDIA’s Generative AI certification, validating knowledge in Large Language Models (LLMs), transformer architectures, prompt engineering, and AI deployment concepts. This certification strengthens my expertise in modern AI systems and generative technologies.

View Credential: https://www.credly.com/earner/...

Awarded for the Tafahas Project, at the University of Jeddah Digital Business Incubator Event. Selected as one of 11 projects recognized for innovation and impact in digital security and AI entrepreneurship.

Co-authored and published research introducing deep learning models for detecting deepfake audio. The study evaluated CNN, BiLSTM, and hybrid architectures using spectrogram-based feature extraction and data augmentation techniques. The optimized CNN model achieved 93.54% accuracy in distinguishing real and synthetic audio.

The project also included the development of a web-based prototype for real-world application of the detection system.

🔗 View Publication on IEEE Xplore: https://ieeexplore.ieee.org/do...