SRM Institute of Science and Technology
PH D, Mathematics
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have a strong foundation in analytical reasoning and structured problem-solving developed through my academic and research experience in mathematics, fuzzy optimization, and data-driven modeling. While my direct experience in AI training and data labeling is developing, my expertise in pattern recognition, logical classification, and quantitative analysis equips me to handle complex annotation tasks with precision and consistency. I am skilled in interpreting numerical, textual, and visual data with a keen eye for accuracy and detail. My background as an Assistant Professor and researcher has honed my ability to follow detailed guidelines, ensure data integrity, and maintain high-quality standards across diverse projects. I bring strong organizational skills, clear communication, and a commitment to quality — qualities essential for producing reliable, high-quality labeled datasets that support effective AI model training.
PH D, Mathematics
Master of Science, Mathematics
Assistant Professor
Intern