AI Trainer
Labeled and annotated Python and Java code snippets for AI training, focusing on syntax, structure, and logic categorization to support model accuracy in code understanding.
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I am a Data Engineer with hands-on experience in AI training and data labeling, particularly through Remotasks, where I annotated and validated code in Java and Python for AI model improvement. My background includes building large-scale ETL pipelines, cloud data architectures (AWS, Azure, GCP), and developing dashboards for analytics. This combination of technical expertise and labeling work gives me a unique perspective in ensuring high-quality, well-structured data for AI training. I bring strong skills in SQL, data governance, and cross-functional collaboration, making me adaptable to diverse projects in AI and data labeling.
Labeled and annotated Python and Java code snippets for AI training, focusing on syntax, structure, and logic categorization to support model accuracy in code understanding.
Assisted in labeling histology slide images for oncology research, tagging regions of interest to support computer vision pipelines for mutation prediction.
Technical Degree, Data Science
Course, Programming & Databases
Data Engineer
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