Professional Overview
I am a Prompt Engineer and applied AI practitioner with hands-on experience designing, testing, and optimizing prompts for GPT-based systems across research, content generation, workflow automation, and decision-support use cases. My background in computer science, combined with practical exposure to generative AI, enables me to translate ambiguous business or user needs into structured, high-performing prompt frameworks.I have worked extensively with prompt design patterns, prompt chaining, and evaluation techniques, and I am actively building and refining Retrieval-Augmented Generation (RAG) pipelines that improve accuracy, relevance, and reliability of AI outputs. I am particularly strong at breaking down complex problems, tagging and structuring data for LLM consumption, and iterating rapidly based on feedback and performance metrics.What makes me a strong fit for a forward-thinking organization is my ability to learn fast, collaborate effectively across technical and non-technical teams, and approach AI development with both creativity and engineering discipline. I enjoy experimentation, documentation, and continuous improvement, and I am motivated by environments where innovation, responsibility, and impact are valued.I am seeking an entry to intermediate role where I can contribute immediately while continuing to deepen my expertise in prompt engineering, RAG systems, and applied GPT solutions.