Banaras Hindu University
Master of Science, Mathematics
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I am an experienced NLP and Data Annotation Specialist with over 2+ years of hands-on experience in building, evaluating, and improving AI/ML models. My work primarily focuses on accuracy validation, factuality checking, and quality assessment of AI-generated responses across a wide range of tasks. I have extensive expertise in Natural Language Processing (NLP), where I evaluate and classify model responses as correct, incorrect, incomplete, or invalid, ensuring high-quality outputs and adherence to task requirements. I am also skilled in severity analysis and factual consistency checking, enabling me to support the training of robust, reliable AI systems. In audio annotation projects, I specialize in identifying and labeling emotions, tone, intent, and behavioral cues for agents, bots, and humans. I also accurately determine conversation categories, interaction types, and contextual attributes to support conversational AI development. With a strong technical foundation in Python, SQL, Machine Learning, Deep Learning, and Neural Networks, I have successfully developed multiple predictive models and analytical solutions. My mix of programming proficiency and structured data labeling experience allows me to bridge the gap between data creation and model performance optimization. Overall, I bring a solid combination of AI model understanding, precise labeling expertise, and technical competency, making me highly effective in training, evaluating, and enhancing AI systems.
Sakshi T. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Mathematics
Bachelor of Science, Physics, Chemistry, Mathematics
Freelancer
Associate Analyst