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Xin Zhang is a Principal Applied Scientist at Oracle, specializing in retrieval-augmented generation (RAG) agents, generative AI, large language models (LLMs), and alignment techniques. Prior experience includes roles as an Applied Scientist at aiXplain, focusing on AI and automatic speech recognition (ASR), and at Amazon with a concentration on speaker identification and TTS-based synthetic speech generation. Xin Zhang served as a Research Assistant at Texas A&M University, specializing in deep learning and natural language processing, and held a Machine Learning Engineer Internship at Ansys, developing predictive models for simulation files. Academic qualifications include a PhD in Mechanical Engineering from Vanderbilt University, a Master of Science in Computer Science from Texas A&M University, and a Bachelor of Science in Control & Instruments from Xi'an Jiaotong University, along with research experience at Columbia University.