University of Delhi
Ph.D., Experimental High Energy Physics
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I have hands-on experience working with large-scale scientific datasets, including particle physics experiments, where I specialized in data preprocessing, labeling, and feature engineering for advanced machine learning applications. My background spans working with complex formats such as ROOT and CSV files, preparing high-quality structured data for training deep learning models, and ensuring data integrity through rigorous validation and quality checks. In addition to technical expertise, I bring strong skills in annotation consistency, data curation, and documentation, which are essential for building reliable AI training datasets. My work has involved both supervised and unsupervised learning workflows, giving me a versatile understanding of how accurate labeling impacts downstream model performance. This combination of scientific rigor and practical data-handling experience sets me apart in the AI training data domain.
Ph.D., Experimental High Energy Physics
Master of Science (M.Sc.), Physics
Postdoctoral Fellow
Postdoctoral Fellow