SASTRA University
Ph.D in Physics, Magnonics
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Ph.D. in Physics with hands-on experience in AI training, evaluation, and data annotation for large language models (LLMs) in scientific and technical domains. Skilled in developing, reviewing, and refining AI-generated responses across physics, materials science, and engineering topics. I have contributed to training datasets, evaluation benchmarks, and quality assurance tasks for AI models at Outlier AI and Lumina Datamatics, focusing on accuracy, contextual understanding, and factual consistency. My expertise spans prompt–response evaluation, text classification, and content refinement for STEM-related tasks. In addition to LLM evaluation, I bring deep academic and research experience in computational physics, spintronics, and materials simulation, with strong analytical and technical writing skills. Proficient in Label Studio, Doccano, Prodigy, and internal AI annotation platforms. I specialize in projects where scientific accuracy, clarity, and structured reasoning are essential for model improvement.
T V. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Ph.D in Physics, Magnonics
Master in Materials Science (M.Sc), Materials Science
Assistant Professor of Physics
Assistant Professor of Physics