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I have over two years of experience in machine learning and AI training, specializing in data labeling, model evaluation, and NLP tasks. My expertise includes annotating and preprocessing data for computer vision applications such as license plate detection and CAPTCHA recognition, as well as working with time series forecasting and recommendation systems. I have hands-on experience evaluating machine learning models using metrics like MAE, RMSE, and MAPE, and fine-tuning models for optimal performance. In the NLP domain, I have worked extensively with Arabizi (Arabic written in Latin characters), implementing text summarization, sentiment analysis, and recommendation systems. My experience also includes AI training data curation, annotation quality control, and model validation for various applications. My strong background in Python, deep learning frameworks, and embedded systems further enhances my ability to contribute effectively to AI training and data labeling projects.
Refining Ai response to get the best response
Bachelor Degree, Engineerning
Queue Manager