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AWS SageMaker
Appen
Anno-Mage
Image
Text
Document
Bounding Box
Classification
Segmentation
Polygon
Text Summarization
Question Answering
Text Generation
Fine-tuning
Transcription
Evaluation/Rating
Computer Programming/Coding
Data CollectionProfile Overview I am a Computer Science graduate with a strong interest in artificial intelligence, machine learning, and data analytics. Throughout my academic and research experience, I have worked extensively with data collection, data preparation, data validation, and quality assurance to support AI and machine learning projects. My work has involved reviewing datasets, identifying inconsistencies, cleaning and organizing data, validating information, and ensuring that data used for model training is accurate and reliable. These experiences have helped me develop a strong attention to detail and an understanding of how high-quality data directly impacts AI model performance. As an Undergraduate Researcher and Research Assistant, I worked on projects involving disease prediction systems, recommendation systems, and AI-driven analytics. In these roles, I was responsible for preparing datasets, designing questionnaires for data collection, reviewing responses for accuracy, performing data cleaning and feature selection, and evaluating model outputs. I have hands-on experience using Python, SQL, Pandas, NumPy, and Scikit-Learn to manage and analyze data. Beyond my technical skills, I am patient, detail-oriented, and committed to producing accurate work. My combination of research experience, analytical thinking, and dedication to data quality makes me well suited for data labeling, data annotation, AI training data, and quality assurance projects.
TextText SummarizationPerformed text annotation, classification, and evaluation tasks to support the training and improvement of large language models and AI systems. Reviewed written content for relevance, accuracy, sentiment, intent, and categorization based on project guidelines. Evaluated AI-generated responses, identified inconsistencies, and provided structured feedback to improve model performance and reliability.
Image
Object DetectionWorked on image annotation and quality review tasks to support the development of computer vision and machine learning models. Responsibilities included identifying, classifying, and labeling objects, scenes, and visual elements within images according to detailed project guidelines. Performed quality assurance checks to ensure annotation consistency, accuracy, and compliance with client requirements. Contributed to improving training datasets used for object detection, image classification, and visual recognition systems.
Computer Code ProgrammingComputer Programming/CodingEvaluated, reviewed, and annotated programming-related content to support AI models trained on software development tasks. Assessed code quality, correctness, readability, and adherence to programming best practices. Compared alternative solutions, identified bugs, validated outputs, and provided detailed feedback to improve AI-generated code responses across multiple programming languages.
DocumentQuestion AnsweringAnnotated and reviewed documents to support machine learning models focused on document understanding and information extraction. Responsibilities included identifying key entities, validating extracted information, categorizing document content, and ensuring annotation accuracy. Worked with structured and unstructured documents while adhering to strict quality and confidentiality requirements.
Bachelor of science in computer science , Data Science
IT RIsk Auditor
Machine learning Lab
