Chemistry Expert
I have hands-on experience in AI training and data-quality evaluation, with a focus on improving model reasoning in scientific domains. I’ve worked on projects involving ChemRxiv content, where I identified challenging edge-case questions to expose model weaknesses and designed detailed rubrics to assess answer quality. This required careful prompt engineering, rigorous fact-checking, and structured annotation to ensure consistent evaluation across complex chemical topics. Alongside this, I’ve completed dozens of high-quality tasks as a freelance AI trainer, developing and testing research-level prompts to strengthen model understanding in chemistry. My background as a PhD chemist and project manager enables me to dissect technical material quickly, define clear evaluation criteria, and generate training data that improves both reasoning depth and reliability in scientific applications.