
Ambitious AI specialist and aspiring MBA with a track record of successfully improving the accuracy, behavior, and performance of AI models through the use of Supervised Fine-Tuning (SFT) and Real-Life Human Feedback (RLHF). Extensive experience in data annotation, content analysis, and dataset evaluation; internship training at the University of Illinois, Chicago, solidified analytical reasoning and research skills. Highly skilled in a variety of areas, including digital marketing, project management, artificial intelligence (AI) tools, and prompt engineering; also proficient in training AI, analyzing data, optimizing workflows, and communicating effectively. Skilled in analyzing complex problems, simplifying operations, and delivering scalable solutions through the use of Lean/Six Sigma methods, root-cause analysis (RCA), and continuous process improvement. I have a strong public-speaking background and a Bachelor of Science degree in Botany, which I combine with my scientific rigor, organizational project management skills, and bias toward action to produce results that are efficient, customer-focused, and in line with Amazon's operational excellence principles.
University of Illinois, Chicago