Allahabad State University
Bachelor of Legislative Law, Legislative Law
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I have hands-on experience in data labeling and AI training data preparation, with a strong focus on accuracy, consistency, and adherence to complex annotation guidelines. My work has spanned various domains including computer vision, natural language processing, and audio classification. I have contributed to the development of high-quality datasets used in training machine learning models for object detection, sentiment analysis, speech recognition, and more. My attention to detail and ability to quickly adapt to new tools and labeling platforms have helped streamline annotation workflows and ensure data integrity. In addition to technical proficiency with tools like Labelbox, appen , clickworker toloka, I bring a solid understanding of machine learning pipelines and the critical role well-labeled data plays in model performance. I have collaborated with cross-functional teams including data scientists, AI engineers, and QA specialists, which has enhanced my ability to align annotation tasks with project goals and quality standards. My combination of domain knowledge, precision, and communication skills makes me a reliable contributor to any AI data operations team.
Shudhanshu M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Legislative Law, Legislative Law
Bachelor of Science, Science
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