Professional Overview
I am a Machine Learning and Data Science professional with experience across research and industry, focused on building datadriven solutions that solve real-world problems. I am particularly passionate about transforming complex and unstructured data into meaningful insights using machine learning, deep learning, and statistical modeling. My interests lie in Natural Language Processing, predictive modeling, and generative AI. I enjoy working on problems involving language understanding, low-resource data, and representation learning, where models must generalize from limited or noisy data. I hold a Master's degree in Applied Mathematics with a specialization in Machine Learning, where my research focused on neural machine translation for lowresource Arabic dialects using transformer-based models, domain adaptation, and data augmentation techniques. My work includes published research and conference presentations in machine learning and NLP.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
