Dava Ramadhan

As an AI Data Labeler at Appen, I contribute to improving NLP-based AI systems through precise annotation tasks, such as intent recognition and sentiment classification. My work involves tagging, evaluating, and categorizing data with high accuracy to support the training of conversational AI in both English and Bahasa Indonesia.

At Crowdgen, I serve as an AI Trainer focused on refining the conversational capabilities of large language models. My responsibilities include crafting high-quality prompt-response pairs and evaluating AI responses for accuracy, clarity, and relevance, ensuring alignment with human expectations.

Pursuing an Associate Degree in Informatics Engineering, focusing on research and synthesis in data annotation and quality control. This program emphasizes bilingual communication and natural language evaluation, preparing students for roles in AI training and development.