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Video
Text
Image
Audio
Entity (NER) Classification
Classification
Bounding Box
TranscriptionAI Data Specialist – Text Annotation & Classification (Bangla NLP). Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, International University of Business Agriculture And Technology (2022) and Higher Secondary Certificate, Bhawal Badre Alam Government College (2017). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Bounding Box, and Transcription.
Annotated video clips by performing atomic action labeling and human-object interaction classification to support computer vision AI training datasets using professional annotation guidelines
As an audio annotator, I worked on Bengali speech datasets for AI training. I transcribed audio clips with attention to dialects and nuanced pronunciations, ensuring accurate representation of spoken language. I also labeled audio for speech recognition tasks and speaker intent classification. • Transcribed Bengali speech data into text. • Labeled clips for clarity (clean vs noisy) and intent. • Managed linguistic diversity across dialects. • Enhanced audio dataset quality for ASR models.
I contributed to multimodal AI dataset creation as an image annotator. My duties included labeling objects in images using bounding boxes and content-based tagging. I helped produce high-quality visual datasets for AI training and evaluation. • Labeled objects such as cars, people, and roads using bounding boxes. • Categorized images by content for dataset structuring. • Ensured labeling accuracy and adherence to project guidelines. • Assisted in quality assurance of labeled image data.
I worked as an AI Data Specialist focusing on Bengali and Banglish text data. My work included data annotation, labeling, and evaluating AI-generated content for NLP research and abusive comment detection. Using context-aware approaches, I labeled and classified a large volume of Bangla social media comments for AI model training. • Collected and processed 10,000–15,000 Bangla comments from online platforms. • Labeled data into categories such as Not Abusive, Threat, Hate Speech, and Religious Hate. • Performed quality checking and context-sensitive interpretation. • Supported creation of accurate datasets for language modeling.
Bachelor of Science, Computer Science and Engineering
Higher Secondary Certificate, Science
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