AI/ML Data Labeling Contributor – TriDev100 Challenge
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Participated in creating and developing machine learning projects involving AI/ML-related tasks as part of the TriDev100 Challenge. Contributed to building and iteratively improving various AI models with a focus on data preparation and AI system development. Labeled and structured datasets for model training and performance evaluation across 30 distinct AI/ML projects.
• Created and annotated textual datasets for NLP tasks.
• Performed data curation, feature engineering, and validation of annotated results.
• Utilized Python-based tools, such as TensorFlow and Scikit-learn, for model training and data labeling workflows.
• Gained practical experience in the end-to-end AI project lifecycle, from dataset labeling to model deployment.
Participated in creating and developing machine learning projects involving AI/ML-related tasks as part of the TriDev100 Challenge. Contributed to building and iteratively improving various AI models with a focus on data preparation and AI system development. Labeled and structured datasets for model training and performance evaluation across 30 distinct AI/ML projects. • Created and annotated textual datasets for NLP tasks. • Performed data curation, feature engineering, and validation of annotated results. • Utilized Python-based tools, such as TensorFlow and Scikit-learn, for model training and data labeling workflows. • Gained practical experience in the end-to-end AI project lifecycle, from dataset labeling to model deployment.
2024 - Present