As an experienced STEM professional and AI Data Trainer, I bring over 13 years of expertise at the intersection of science education, data analysis, and instructional design. With a Master’s in Physics from Mindanao State University–Iligan Institute of Technology, I’ve spent 11 years teaching Physics across the Philippines, Oman, and the UAE—translating complex scientific concepts into clear, engaging learning experiences that empower students to succeed.
Now, I apply that same clarity and precision to the world of AI and machine learning. My mission: to ensure AI systems are trained on high-quality, accurate, and context-rich data, especially in domains requiring deep subject-matter understanding.
In my previous roles, I’ve:-Designed physics curricula and digital content aligned with global education standards.-Leveraged tools like MATLAB, Power BI, Camtasia, Excel, Google Workspace, Blackboard Learn, and Grammarly to streamline content development and assessment.-Applied data analysis and planning expertise from the FMCG sector to solve real-world business problems-honing my ability to interpret, structure, and optimize data flows.
As an AI Data Trainer, I specialize in:-Labeling and annotating complex STEM data for supervised learning models.-Refining prompts and evaluating outputs of large language models (LLMs) for scientific accuracy.-Bridging the gap between subject-matter expertise and machine learning workflows to improve model performance and relevance.
I’m excited to contribute to ethical, explainable, and accurate AI systems by combining a deep understanding of science with a data-centric mindset.
