STEM – Physics (Ph.D) AI Contributor, QA Labelling and Audit
I developed and refined datasets of expert-level prompts and model answers to improve Large Language Model (LLM) performance in mechanical engineering domains. I executed comprehensive quality assurance audits to evaluate AI-generated outputs for technical accuracy, reasoning, and tone. My work focused on domains such as thermodynamics, fluid mechanics, heat transfer, HVAC, and RAC. • Enhanced LLM data quality by creating and reviewing technical Q&A datasets • Ensured rigorous error checking and logical consistency in AI outputs • Maintained professional tone and technical correctness in labeled data • Contributed to the continuous improvement of LLM capabilities for STEM applications