Highly accomplished AI Product Manager with comprehensive full lifecycle experience, from 0-1 product design to launch, across diverse AI domains including LLM platforms, data closed-loop systems, and CV annotation tools. Proven ability to translate complex technical concepts into user-centric solutions, evidenced by driving significant user growth (e.g., 25,000+ internal users, 30%+ client growth) and optimizing operational efficiency (e.g., 20% R&D training efficiency increase, 800ms search response time). Combines strong technical acumen in Deep Learning, NLP, and LLM frameworks with strategic product thinking and a track record of earning high praise from mentors and leaders.
LLM Platform Product Manager
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Summary
Managed LLM platform products, driving AI product development from 0-1, integrating technical and product thinking to enhance user experience and operational efficiency.
Highlights
Led 0-1 product design and front-end development for XiaoMei MCP client, transforming AI dialogue into an AIPC assistant; achieved **25,000+ internal users within 30 days**, earning high praise across departments.
Directed 0-1 business and interaction design, requirements planning, and front-end development for XiaoMei MCP configuration platform, boosting client user growth by **over 30%** post-launch and improving usability.
Co-developed a Perplexity-like AI deep search tool using DeepSeek-R1 within a **5-day extreme development cycle**, achieving **95% core functionality** and optimizing search response to **800ms**, earning commendation at AI OpenDay.
AI Algorithm Product Manager
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Summary
Managed data closed-loop AI products, focusing on enhancing data-driven decision-making and optimizing AI algorithm performance for business growth.
Highlights
Upgraded the lead scoring model from rule-based to Deep Learning (DL), significantly improving lead scoring accuracy and effectiveness and boosting sales lead conversion and market response speed.
Designed and implemented automated Duplicate and Discard preprocessing flows for SIMO classification model using NLP, enhancing data processing automation and accuracy, and reducing manual handling errors.
Resolved data flow blockages within the company's data closed-loop products, integrating training requirements and unifying dataset structures, boosting R&D training efficiency by **at least 20%** and accelerating product iteration speed.
AI Product Manager
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Summary
Managed AI product development, focusing on CV annotation tools and platform business functionalities, driving efficiency and improving project management.
Highlights
Led iterations for various CV annotation tools (active learning, 2D Mask, 3D segmentation, SAM2-based video tracking), achieving **91+% multi-class tagging accuracy for 20,000 images** and increasing 2D bounding box annotation speed by **over 160%**.
Managed iterations for platform business functionalities including performance statistics, issue feedback, and permission page reconstruction, significantly improving project manager efficiency in annotation project billing through full business closed-loop implementation.
Actively participated in sales training and customer Q&A for CV annotation tools, contributing to increased sales order volume and resolving multiple customer queries by collecting real-time feedback.
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Master's Degree
Software Engineering
Grade: GPA 3.1/4.0
Courses
Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection (Chinese Academy of Sciences, WOS Zone 2, Zone 1)
A Novel Adaptive YOLO-Based Framework for UAV Remote Sensing Image Object Detection with Enhanced Sampling and Detect Head Mechanisms (Chinese Academy of Sciences, WOS Zone 2, Zone 1)
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Bachelor's Degree
Data Science and Big Data Technology
Grade: GPA 3.34/4.0
Courses
Awards: First-class scholarship
Certifications: ACA certificate, CET-4/6
Competition: Second prize in Netease Visualization Competition Beijing Division
Figma, Axure10.
SQL, Vue3, React, Swift, SpringBoot, Kotlin, Node.js, Vue3+JS.
Transformer, BERT, GPT, RAG, Agent, RLHF, Pytorch, Langchain, Prompt Engineering, MoE, KAG, ChatGLM, DeepSeek-v3, k 1.5, Llama2.
Coze, Doubao, Zhipu Qingyan, Tiangong, Notebook LM, Perplexity, Claude, Windsurf, Cursor, Wenxin Yiyan, Veo2, Keling AI, Baidu Qianfan, Baidu PaddlePaddle AI Star River Community, Volcano Engine, Alibaba ModelScope.
Product Lifecycle Management, 0-1 Product Development, Requirements Planning, Interaction Design, Prototyping, User Research, Cross-functional Collaboration, Business Process Optimization, Project Management, Data-driven Decision Making, Strategic Planning, Competitive Analysis, Market Research.
Deep Learning, Natural Language Processing (NLP), Computer Vision (CV), Feature Engineering, Model Validation, Semantic Parsing, Multimodal Presentation, Active Learning, 2D/3D Segmentation, Video Tracking, Algorithm Optimization.
Jira, PRD (Product Requirements Document).
Data Visualization, Data Mining.
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Summary
A GIS map system for disaster statistics across Chinese dynasties, funded by the Southwest Ethnic Disaster Research Foundation, established by the National Ethnic Affairs Commission and Minzu University of China Historical College.