CNAM
Master of Science, Computer Networks and Internet of Things Systems
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I have hands-on experience in machine learning and computer vision, with a strong background in preparing and processing data for AI model training. During my internship as a Machine Learning Engineer, I focused on data preprocessing and researching advanced object detection techniques for real-time applications, which enhanced my skills in data annotation and ensuring high-quality training datasets. My academic projects, such as hyperparameter tuning for federated learning and anomaly detection using Python and TensorFlow, further strengthened my understanding of data pipelines and model evaluation. I am proficient in Python, TensorFlow, Docker, and have a keen interest in applying my skills to AI training data, ensuring accuracy and efficiency in data labeling tasks.
Maham K. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Computer Networks and Internet of Things Systems
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