Delhi University
BA , Literature
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I’ve worked extensively in data labeling and AI training data development—primarily in roles where precision, domain awareness, and collaboration are critical. My experience includes: High‑accuracy annotation across modalities: I’ve labeled images (bounding boxes, segmentation), transcribed and tagged text (NER, sentiment), and annotated audio/video datasets—ensuring consistent metadata that enhances model performance, especially in computer vision and NLP use cases wsj.com +9 aipathly.com +9 skillspassportsa.co.za +9 . Tool fluency & process efficiency: Skilled in annotation platforms like LabelStudio, CVAT, Prodigy, and Doccano, I’ve also automated repetitive steps using Python and SQL scripting—improving throughput while minimizing errors labelvisor.com . Strong soft‑skills foundation: With meticulous attention to detail, critical thinking, and reliable time-management, I consistently meet tight deadlines without sacrificing quality—a must in large batch labeling projects labelvisor.com +2 humansintheloop.org +2 geeksalad.org +2 . I've led quality‑control initiatives—defining annotation guidelines, conducting cross-review cycles, and analyzing inter‑annotator consistency. I’ve collaborated closely with data scientists and ML engineers to align train/validation datasets with downstream tasks. This blend of hands‑on labeling expertise, technical adaptability, and collaborative process design positions me to drive high‑impact training‑data projects.
BA , Literature
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