Aly Nasr Email & Phone Number

I'm a passionate Machine Learning Engineer with a strong preference for the data-centric approach. I thrive on designing and experimenting with novel model architectures, constantly pushing the boundaries of what's possible.My experience bridges research and application. I've conducted research in NLP and medical imaging, and successfully implemented findings into practical solutions. For instance, I developed an Explainable AI (XAI) framework that refined an emotion classification dataset for Arabic tweets, achieving significant improvements in data quality and model performance.I champion classical ML models alongside cutting-edge techniques. In the "Identification of Ischemic Stroke Origin" project, I achieved top-5 placement in a Kaggle competition using a classical approach with XGBoost. Additionally, I've built pipelines utilizing Transformers, GRUs, Logistic Regression, and Naive Bayes models.I'm proficient in a diverse skillset, including Python, Java, C++, C#, TensorFlow, PyTorch, Keras, scikit-learn, and other tools. I'm well-versed in data science techniques such as data modeling, algorithm development, data analysis, and visualization. My work spans various AI domains, including NLP, computer vision, GANs, XAI, and Responsible AI.I'm a lifelong learner, constantly seeking the latest research and actively participating in the ML community. I'm eager to contribute my expertise to innovative projects and collaborate with talented individuals to push the boundaries of AI.