Nada R.

Senior Computer Science and Artificial Intelligence student (GPA 3.89/4.0) with hands-on experience in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Generative AI, including Large Language Models (LLMs). Developed an award-winning Healthcare AI system for automated prescription recognition using Python, PyTorch, and a fine-tuned Transformer-based OCR (TrOCR) model. Skilled in model development, training, and deployment using TensorFlow, PyTorch, OpenCV, MediaPipe, LangChain, FastAPI, and MLflow, with practical experience in feature extraction, pattern recognition, and model optimization for real-time inference. Winner of 3rd Place in a university-wide graduation project competition. Seeking a Machine Learning Engineer, AI Engineer, or Research Intern role to apply strong research and applied project experience to real-world problems.