IIT DELHI
MASTER'S, CHEMISTRY
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I have experience working with AI training data and data labeling across a variety of domains, focusing on accuracy, consistency, and scalability. My work has involved annotating text, images, and structured datasets for tasks such as classification, entity recognition, sentiment analysis, and content moderation. I am comfortable following detailed annotation guidelines, creating labeling schemas, and performing quality assurance checks to ensure high inter-annotator agreement. I have also worked with tools and workflows that support large-scale data pipelines, including dataset preprocessing, validation, and iterative improvement based on model feedback. What sets me apart is my strong analytical background and attention to detail, which help me identify edge cases and ambiguous samples that can impact model performance. I am skilled at refining annotation guidelines, documenting processes, and collaborating with cross-functional teams such as data scientists and ML engineers. Additionally, I bring domain knowledge in technical and scientific subjects, allowing me to handle complex datasets with precision. My ability to balance speed with quality, along with a commitment to continuous learning and improvement, ensures that I consistently deliver high-quality labeled data for AI model training.
MASTER'S, CHEMISTRY
BACHELOR'S HONOR IN CHEM, CHEMISTRY
ai chemistry training