Internships

Driving AI feature development for Zoom Present — from PRD to launch, with data instrumentation, competitive analysis, and evaluation framework design.

• Led requirements planning and delivery for Zoom Present AI editing features and mobile full-flow design, producing 6+ core PRDs and coordinating cross-functional reviews across product, design, frontend, backend, and QA teams
• Designed data instrumentation schemas for key features (e.g., slide insertion, search), defining trigger sources, parameter fields, success/failure criteria, and funnel event chains to support adoption rate, success rate, and undo behavior monitoring
• Conducted 5+ competitive analyses covering Gamma, Genspark, Manus, AnyGen, and Skywork — benchmarking AI PPT generation speed and interaction paths to quantify gaps and inform product iteration priorities
• Built a multi-dimensional PPT generation quality evaluation framework covering content quality, design performance, and narrative structure, using LLM Judge with fixed prompts for reproducible scoring; explored Opus4.6 OOXML advantages to validate Zoom Present fast-mode feasibility

Led Storylane demo content creation, data dashboard development, and international business liaison for Dataphin's global expansion.

• Created 50+ English demos on Storylane covering Copilot and NL2SQL scenarios, built reusable templates with standardized scripts and storyboards, and published across 6 channels including Alibaba Cloud website and WeChat Mini Program
• Developed a demo data monitoring dashboard tracking views, traffic sources, retention, and conversion rates by channel — identifying user drop-off points and bottleneck pages to guide content optimization
• Built an online searchable demo library organized by channel with standardized naming and versioning conventions, significantly improving asset retrieval and reuse efficiency
• Investigated data governance platforms (NetEase ShuFan, IBM) across 12 metrics covering functional fit, technical reliability, cost, and sustainability — contributing to product positioning and differentiation strategy
• Served as international business liaison, communicating in English with Storylane's California HQ, organizing meetings, and coordinating bug reports and optimization plans

Full-cycle backend development — from requirements and prototyping to API development, gateway management, and SAP integration.

• Participated in full backend development lifecycle including requirements documentation, Axure prototyping, database design, API development, and Postman integration testing
• Built an API gateway information management module to synchronize API data from Alibaba Cloud, classify APIs by business centers, and track utilization rates for ongoing monitoring
• Designed and optimized backend interfaces in Spring Boot and MyBatis — including supplier quality management (CRUD + Excel export), customer information retrieval (cross-table queries), and SAP CSB payroll integration
• Developed DingTalk automation features using XXL-JOB — data submission reminders, account deactivation notifications, and dynamic URL-based task routing for improved notification accuracy

Developed AI interfaces, built standardized web services from legacy scripts, and applied Hadoop/Hive/Spark for large-scale data processing.

• Developed a Python-based AI reply interface — writing prompts, calling Zhipu's LLM API, and persisting user queries and AI responses to MySQL for durable storage
• Upgraded script-based queries into standardized Spring Boot + MyBatis + MySQL web services for enterprise invoice retrieval, billing details, and address correction — with pagination, fuzzy search, and Postman-validated API contracts
• Applied Hadoop, Hive, and Spark for large-scale data processing — writing SQL and HiveQL queries and leveraging Spark transformations for efficient data computation

Supported CS instruction through workshops, grading, and data-driven student performance tracking.

• Organized workshops for academic Q&A, assisted in grading coding assignments, and evaluated final projects
• Developed and maintained a student grade management database using SQL, generating performance reports and learning progress charts to support data-driven teaching strategies

Built Python automation tools for large-scale book data collection and library system management.

• Developed web crawlers to collect high-rated books (rating ≥ 8) from Douban and wrote data validation scripts to ensure correct book code formats and data accuracy
• Automated large-scale book data collection and real-time updates, significantly improving data processing efficiency for library information management