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Data Annotation Tech
Google Cloud Vertex AI
Scale AINo subject matter listed
Audio
Computer Code Programming
TextWith hands-on experience in AI model training and evaluation, I specialize in prompt engineering and data quality assurance for LLMs. I have extensive experience in refining prompts to optimize outputs for educational and professional use cases. Throughout my experiences across various projects and different platforms, I have collaborated with product and engineering teams to deploy AI-driven content solutions that ensure accuracy and reliability in model responses and reasoning. More specifically, my work has focused on improving user engagement, and enhancing model performance. I understand the importance of delivering consistent, high-quality AI outputs. In addition, my bilingual proficiency and computer science expertise allow me to contribute across diverse projects, from rubric-based evaluations to audio and data annotation.
Model responses were measured against a provided prompt and user developed rubric to assess quality and instruction following.
Models are evaluated against pre-written rubrics given the system instructions and response.
Models were trained on human conversations based on specific scenarios and provided advice. Data was collected and annotated.
Contributors created and solved challenging problems in respective area of expertise with the goal of stumping advanced AI models. Fellow contributor prompts and solutions were assessed for quality and accuracy.
Master of Education, Administrative Leadership
Bachelor of Arts, Journalism & Mass Communication
AI & Data Annotation Expert
AI Implementation Product Manager
