Results-driven Prompt Engineer with expertise in designing, evaluating, and refining natural language prompts to optimize Large Language Model (LLM) performance. Skilled in bridging the gap between human intent and machine execution using advanced prompting techniques (Chain-of-Thought, Few-Shot, ReAct), fine-tuning guardrails, and programmatic API integrations. Adept at reducing hallucinations, lowering latency, and standardizing AI outputs across product workflows, enterprise applications, and automated pipelines.