noura shbani

I am a junior machine learning engineer pursuing advanced study in Web Science with practical experience in deep learning, NLP, and conversational AI. I build and deploy models using PyTorch, TensorFlow, and Hugging Face to solve real-world problems.

My project work includes medical image analysis for cancer detection where I designed and optimized deep neural networks, and a conversational banking assistant where I fine-tuned NLP models and exposed them via a Flask API. I focus on model performance, optimization, and reliable deployment.

I also developed an e-commerce recommendation engine using SVM and Apriori algorithms, creating a full-stack Flask application to demonstrate end-to-end capabilities. I have hands-on experience in data processing, analysis, and visualization with Pandas, NumPy, Matplotlib, and Seaborn.

I am eager to contribute to internships or early-career roles that leverage foundation models, LLMs, workflow automation, and voice AI. I learn quickly, work well in fast-paced environments, and prioritize building robust, production-ready ML solutions.