Project Livermorium, Project Nobelium, Project Emerald
These are the projects in which my role is to create prompts, design rubrics, assess AI responses, and select the higher-quality outputs.
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I have experienced working on multiple large-scale AI research projects across vendors to improve model performance in biology, STEM education, and data science. •Academic & STEM Evaluation: Designed and evaluated rubrics for undergraduate-level biology reasoning questions to assess AI understanding of key biological concepts. 09/2024 – 06/2025 •Educational & Pedagogical Evaluation: Assessed AI-generated instructional content, lesson plans, and tutoring responses from an educator’s perspective to evaluate depth of pedagogical reasoning, cognitive scaffolding, and instructional clarity. •Remote Desktop & Data Science QA: Created task-based prompts and rubrics to assess AI’s ability to perform desktop operations and data analysis workflows. •Web & Localization Testing: Evaluated AI’s search relevance and localized reasoning in Indonesian, ensuring culturally accurate and contextually relevant results. •Multimodal Data Annotation: Annotated and rated images, audio, and video datasets, including bounding box labeling, caption generation, and multimedia quality assessment. •Pedagogical & Communication Review: Analyzed AI responses for instructional quality, clarity, and alignment with evidence-based learning principles, contributing to the development of educationally grounded reasoning models.
These are the projects in which my role is to create prompts, design rubrics, assess AI responses, and select the higher-quality outputs.
Making bounding boxes in products and websites.
Rating pictures to train Google Photos
MSc., Marine Biological Resources
BSc., Biology
Supply Chain Lead and Operational Executive
Intern