RAG-Based Customer Support AI Training
Contributed to a Retrieval-Augmented Generation (RAG) customer support AI project focused on improving question-answering performance using curated textual datasets and supervised fine-tuning workflows.
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Capstone Project: Image Classification Data Labeling. Core strengths include Other. Education includes Bachelor of Science, Fayoum University (2022). AI-training focus includes data types such as Image and labeling workflows including Classification.
Contributed to a Retrieval-Augmented Generation (RAG) customer support AI project focused on improving question-answering performance using curated textual datasets and supervised fine-tuning workflows.
Led a capstone project building a CNN-based image classification pipeline. The project involved preprocessing images, labeling data for supervised learning, and evaluating multiple models for image classification accuracy. Developed reliable training and testing datasets by accurately labeling images and ensuring class balance. • Performed image preprocessing and manual annotation tasks for model training. • Ensured quality control by reviewing labeled image data for class consistency. • Utilized scikit-learn and TensorFlow for training and validation phases. • Managed dataset splits and labeling documentation.
Bachelor of Science, Computer Science
Worked as a freelance developer specializing in Artificial Intelligence, Machine Learning, and software development projects