Mohamed Amine Ghorbali is a final-year Software Engineering student at ESPRIT, Tunisia, specializing in Data Science. His work focuses on applied machine learning, deep learning, and MLOps. He has developed real-world systems, including a real-time sign language translation pipeline during an internship at ESPRIT University and a scalable e-commerce platform built at CognitionHex. His personal projects include fine-tuning LLaMA 2 for financial report summarization, building real-time customer churn prediction pipelines, and deploying AI-enhanced fitness advisors. He is proficient in tools such as PyTorch, TensorFlow, MLflow, DVC, FastAPI, Docker, and Kubernetes. His work is available on GitHub, and he holds advanced certifications from NVIDIA, DeepLearning.AI, and edX.