1. AI-related Technical Background - Foundation: Familiar with various deep learning models including MLP, CNN, RNN, Transformer, and model training and distributed training based on PyTorch, as well as fine-tuning. - Digital Human Related: Enhanced experience in digital human dialogue using TTS, lip correction, and user audio recognition enhancement. - LLM and AI Agent Applications: Practical experience with the LangChain. Practiced prompt engineering techniques such as Zero-shot, Few-Shot, CoT, and ReAct. Understand security risks like prompt injection and leakage, and how to defend against them using instructions, parameterization and guardrails.2. Product and Research Team Management Experience - Team Management: 4 years of experience managing product and research teams. - Project Management: Responsible for roadmap setting, epic breakdown, tracking, and delivery. - Product Management: market research, user research, competitor analysis, product planning, product design, requirement review, and feedback collection. - R&D Management: Implemented Scrum methodology for R&D management iteration. - Tools: Jira, Bitbucket, Confluence, Axure, Feishu, Lanhu3. B2B Software Product Design - 7 years of experience in B2B software product management, included SaaS and on-premises deployment. Experienced areas include exams, enrollment and employment, AI simulated interviews, interactive online education platforms, and telecom infrastructure management systems.4. Research and Development Professional Skills - Experience in Java and Python development, responsible for prestudy and technical prototype, such as experimenting and implementing AI Agent, voice enhancement.5. Cross-national Team Collaboration and English Skills - Collaboration Experience: 8 years of worldwide R&D and team collaboration experience, able to effectively collaborate with team members from different cultural backgrounds. - English Proficiency: English can be used as a working language, with an overall IELTS General score of 7.