AI Model Specalist/ Expert
AI Training Data Specialist who has practical experience in assessing and improving large language models (LLMs) with high-quality and human-in-the-loop feedback. My scholarship is centered on the design and analysis of STEM-based content, and I can apply a subject-based understanding of science, technology, engineering, and mathematics in complex annotation and standard-setting activities. My experience involves refining the outputs of LLM, evaluating model reasoning, and making sure that it is aligned to accurate facts and contexts of varying instruction sets. I have worked on the project related to MMI (Multi-modal and Multilingual Instruction), such as data workflows of combining text, image, and code modalities in multilingual. I believe in rigor in the domain, precision, clarity, and development of LLM at the research and production stages. My efforts enhance the model robustness, safety, and applicability into real-world scenarios by aligning AI outputs to the performance of an