Horus University
Bachelor of Physical Therapy, Physical Therapy
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I have extensive experience in data labeling and AI training data, specializing in curating, annotating, and refining datasets to enhance machine learning model performance. My expertise spans various annotation types, including image, text, and audio labeling, ensuring high-quality and accurately labeled data for supervised learning. I am proficient in using annotation tools such as Labelbox, Scale AI, and Amazon SageMaker Ground Truth, and I have a keen eye for detail, ensuring consistency and accuracy in data labeling projects. My background includes working on diverse AI training projects, from natural language processing (NLP) applications to computer vision models. I have collaborated with data scientists and engineers to develop efficient data pipelines, optimize annotation workflows, and implement quality control measures. My ability to balance speed and accuracy, coupled with strong problem-solving skills, allows me to enhance dataset integrity and model reliability. My adaptability to new AI technologies and labeling frameworks makes me a valuable asset in AI model training initiatives.
Mohammed W. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Physical Therapy, Physical Therapy
Instructor
Pediatric Physiotherapist