Junior Prompt Engineer (AI Prompt Optimization & Training)
Worked on designing and optimizing prompts for Large Language Models (LLMs) such as ChatGPT and Claude AI to enhance AI output accuracy. Focused on evaluating and refining structured prompts for use cases like content generation, summarization, and Q&A, applying NLP techniques and best practices. Conducted response evaluation and implemented prompt iteration for consistent and reliable AI behavior. • Developed over 50 structured prompts for diverse domains including marketing and knowledge-based Q&A • Applied Chain-of-Thought and zero-shot/few-shot prompting frameworks for logical reasoning tasks • Performed model output evaluation and iterative refinement to reduce AI hallucinations • Designed reusable prompt templates to improve workflow efficiency