AI Prompt Engineer and LLM Use Case Developer (Manager, KPMG)
As Manager at KPMG, contributed to developing and prototyping AI/GenAI use cases involving the creation and refinement of prompts and responses for enterprise LLM adoption. Responsibilities included prompt engineering, feasibility validation, and aligning data inputs to support the training and evaluation of AI models. Collaborated with AI Center of Excellence, leveraging Azure OpenAI and AI Foundry for hands-on data curation and supervised testing of model outputs.• Designed effective prompts for LLM-powered use cases to improve contextual accuracy and relevance • Conducted structured stakeholder consultations to identify and structure high-value prompt scenarios • Participated in validation of AI-generated responses and iteratively enhanced prompt designs • Used Microsoft Azure AI tools as the primary environment for these prompt engineering and supervised fine-tuning tasks.