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I am Arpan Dewan, a Mechanical Engineer from the National Institute of Technology, Srinagar, currently pursuing my B.Tech in Mechanical Engineering and exploring AI data labeling and model evaluation. I am passionate about bridging engineering rigor with AI data operations to help build safer, more accurate language models. As a data annotator with hands-on experience at Innodata and a DRDO internship, I specialize in high-precision data labeling, NER, sentiment analysis, and synthetic data creation. I thrive in collaborative environments, and data verification techniques, and enjoy turning complex datasets into high-quality training material for Tier-1 technology clients.…I am Arpan Dewan, a Mechanical Engineer from the National Institute of Technology, Srinagar, currently pursuing my B.Tech in Mechanical Engineering and exploring AI data labeling and model evaluation. I am passionate about bridging engineering rigor with AI data operations to help build safer, more accurate language models. As a data annotator with hands-on experience at Innodata and a DRDO internship, I specialize in high-precision data labeling, NER, sentiment analysis, and synthetic data creation. I thrive in collaborative environments, and data verification techniques, and enjoy turning complex datasets into high-quality training material for Tier-1 technology clients.

Arpan Dewan

Data Annotator, AI Engineer, Data Analyst, +1

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I am Arpan Dewan, a Mechanical Engineer from the National Institute of Technology, Srinagar, currently pursuing my B.Tech in Mechanical Engineering and exploring AI data labeling and model evaluation. I am passionate about bridging engineering rigor with AI data operations to help build safer, more accurate language models. As a data annotator with hands-on experience at Innodata and a DRDO internship, I specialize in high-precision data labeling, NER, sentiment analysis, and synthetic data creation. I thrive in collaborative environments, and data verification techniques, and enjoy turning complex datasets into high-quality training material for Tier-1 technology clients.…I am Arpan Dewan, a Mechanical Engineer from the National Institute of Technology, Srinagar, currently pursuing my B.Tech in Mechanical Engineering and exploring AI data labeling and model evaluation. I am passionate about bridging engineering rigor with AI data operations to help build safer, more accurate language models. As a data annotator with hands-on experience at Innodata and a DRDO internship, I specialize in high-precision data labeling, NER, sentiment analysis, and synthetic data creation. I thrive in collaborative environments, and data verification techniques, and enjoy turning complex datasets into high-quality training material for Tier-1 technology clients.

Available to hire

I am Arpan Dewan, a Mechanical Engineer from the National Institute of Technology, Srinagar, currently pursuing my B.Tech in Mechanical Engineering and exploring AI data labeling and model evaluation. I am passionate about bridging engineering rigor with AI data operations to help build safer, more accurate language models.

As a data annotator with hands-on experience at Innodata and a DRDO internship, I specialize in high-precision data labeling, NER, sentiment analysis, and synthetic data creation. I thrive in collaborative environments, and data verification techniques, and enjoy turning complex datasets into high-quality training material for Tier-1 technology clients.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Research Intern at Defence Research and Development Organisation [SSPL]

December 1, 2025 - Present

Research intern at DRDO's Solid State Physics Laboratory, contributing to on-site research activities at the New Delhi facility.

AI Data Annotator (Freelance) at Innodata Inc.

November 1, 2025 - Present

Annotated text/image datasets with high precision (NER, sentiment analysis, topic classification); performed quality assurance with >95% accuracy; managed high-volume data processing; created synthetic data by authoring high-complexity questions and answers.