Results-driven Prompt Engineer with 3 years of freelance and full-time experience in developing AI driven solutions, specializing in LLM fine-tuning, RLHF, prompt optimization, data annotation, and AI model evaluation. Proven ability to create structured datasets, optimize AI responses, and improve AI decision-making. Experienced in working with Amazon AI Rufus, ChatGPT, Microsoft Edge Jarvis, LIDAR for autonomous vehicles, and Salesforce AI automation. Adept at AI bias detection, safeness evaluation, GenAI automation, customer workflow optimization, and training AI models to enhance performance and safety. Strong ability to bridge the gap between non-engineering backgrounds and deep AI expertise through hands-on contributions and high impact projects.