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TextI have hands-on experience in data labeling and AI training workflows across diverse domains, including LLM evaluation, OCR annotation, multilingual localization, and physics-informed modeling. My work involves crafting and refining prompts, annotating large datasets, and validating model outputs to ensure accuracy, relevance, and alignment with domain-specific standards. I’ve contributed to large-scale projects involving Odia and Bengali translation, MTPE, and scientific reasoning tasks, helping improve model performance in real-world applications.
Developed locale-specific prompts and ideal responses to enhance model performance on localized tasks. Evaluated and fine-tuned outputs from multiple models as part of a large, ongoing project.
Created and evaluated physics-related prompts and model-generated responses to ensure scientific accuracy and relevance. Corrected outputs based on domain knowledge and aligned them with established physical principles to improve model performance in reasoning and simulation tasks.
Annotated and labeled text regions in scanned documents and images for Optical Character Recognition (OCR) tasks. Ensured high-quality bounding boxes and accurate transcription of printed and handwritten text to support model training and evaluation across diverse scripts and formats.
Translated and performed MTPE (Machine Translation Post-Editing) on large Odia and Bengali text datasets used for training language models.
Bachelor of Science, Physics
Master of Science, Physics
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