Data Annotation and AI Model Training (Academic Projects)
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Worked as a Computer Science student with hands-on experience in applying machine learning models to real datasets. Focused on interpreting model outputs, evaluating performance, and ensuring quality of AI-generated results. Gained direct exposure to AI training and data annotation concepts within academic and practical machine learning projects.
• Assisted in examining and labeling model predictions during experiments
• Contributed to performance evaluation of supervised and unsupervised models
• Applied structured data processing techniques for annotation and training tasks
• Developed and refined approaches for dataset preparation and curation
Worked as a Computer Science student with hands-on experience in applying machine learning models to real datasets. Focused on interpreting model outputs, evaluating performance, and ensuring quality of AI-generated results. Gained direct exposure to AI training and data annotation concepts within academic and practical machine learning projects. • Assisted in examining and labeling model predictions during experiments • Contributed to performance evaluation of supervised and unsupervised models • Applied structured data processing techniques for annotation and training tasks • Developed and refined approaches for dataset preparation and curation
Not specified