Indian Institute of Engineering Science and Technology, Shibpur
Master of Engineering, Electronics and Telecommunication Engineering
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I have experience working with AI-focused workflows involving data annotation, structured data extraction, document analysis, and quality validation for machine learning systems. I am skilled at handling large volumes of unstructured data, including PDFs, spreadsheets, text datasets, and business documents, while maintaining high accuracy and consistency. My work includes preparing clean datasets, validating AI-generated outputs, organizing taxonomy structures, and supporting LLM-based automation pipelines using tools such as Python, SQL, Supabase, OCR systems, and modern AI APIs. I also have experience with AI training workflows involving prompt engineering, semantic data organization, JSON schema validation, and extraction of structured information from complex documents. I am detail-oriented, quick to adapt to new guidelines, and comfortable working on long-term AI projects that require precision, data quality control, and scalable processing. My technical background in AI automation and data engineering helps me understand both the operational and model-training side of AI systems, allowing me to contribute effectively to annotation, evaluation, and data preparation tasks.
Mukesh D. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Engineering, Electronics and Telecommunication Engineering
Bachelor of Technology, Electronics and Communication Engineering
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