Hi, I’m Zahrah Rasheed, a fresh graduate with a Bachelor’s degree in Artificial Intelligence (GPA 4.53/5.0 – Second Class Honors) from the University of Jeddah. I am passionate about building intelligent systems that solve real-world problems.

I specialize in machine learning, data preprocessing, and model optimization, with hands-on experience using Python, PyTorch, Pandas, and Power BI. My work includes developing deepfake voice detection systems, applying NLP in healthcare contexts, and improving data pipelines to enhance AI model performance. I enjoy transforming complex data into meaningful, actionable insights.

My projects combine analytical thinking with technical precision, including classification models, Django-based web applications, and interactive Power BI dashboards. I am particularly interested in deep learning, language models, and intelligent automation.

Currently, I am expanding my expertise by working on AI-enhanced systems across various domains, aiming to deliver innovative and impactful AI solutions.

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/...

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...

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.