Prompt Engineering and SFT Dataset Contributor
Developed structured prompt templates for AI model fine-tuning and supervised training. Authored and validated prompt-response pairs to facilitate supervised fine-tuning of language models. Focused on semantic clarity, task alignment, and consistency across diverse scenarios.• Built prompt template libraries for varied use cases. • Ensured JSON Schema conformity for structured outputs. • Enabled reliable downstream data parsing for integration. • Enhanced supervised learning pipelines for LLMs.