AI / LLM Consultant (Freelance)
Evaluated AI-generated Kotlin/Android code for quality and accuracy, providing technical feedback to improve LLM training datasets. Actively contributed to the refinement of prompt engineering best practices and data curation for language model development. Regularly engaged with the process of assessing code generation edge cases and alignment with user intent. • Collaborated with multiple AI labs, including Alignerr, Outlier, and Opentrain.ai • Used internal and AI-assisted tools such as Cursor and GitHub Copilot • Focused on evaluation of programming/code outputs • Activities targeted at enhancing data quality and coverage for LLMs