Tech Stack: Java, React, SpringBoot, JavaScript, MySQL, AWS, Git, Maven 1. Grimlingo specialises in innovative language learning solutions to help users pass the DET language test. 2. As a full-stack developer, handled the web application's core practice and wordbook module, covering frontend with React, backend with Spring Boot, the corresponding APIs and database tables design. 2.1. Implemented features such as the question list, question exercises and AI-powered grading system, covering 10k+ questions across 6 categories and 14 subcategories. 2.2. Developed filtering and sorting for questions & wordbook by category, difficulty, and practice history.3. Optimisation: Utilised design patterns(Template Method Pattern, Decorator Pattern) to improve readability and maintainability in backend. Employed preloading strategies to create a smoother UI in frontend.

User Growth Product Manager in Game Centre 1. Technical Optimization: Improved the homepage onboarding rate by optimising loading time, adding offline cache, and implementing pagination based on technical bottlenecks analysis, increasing revenue by 3%.2. Boosted daily active users by 200k through custom game data services(push notifications, widgets). 3. Key skills: Technical problem analysis. Objective-Oriented Problem-Solving Experience. UX Design.

Increased new user retention in Wesee (Short video app with 20 million DAU) →Undertaking experience optimization (12/2019-08/2020)1. Researched and dismantled the user experience funnel. Initiated and restructured the growth roadmapby evaluating and interpreting the key users' needs of multiple typical user types.2. Coordinated the joint content operation and data analysis sections to optimize the undertaking strategy from style, layout, content quality, etc.3. Automated the content production process to increase efficiency and expand effective experimentation strategy from a single channel to all new user channels.4. Increased the new user retention by 3.4%. The duration increased over 0.56 min. → Content recommendation strategy optimisation (06/2020-05/2021)1. Conducted comprehensive research and accuracy evaluation of new user avatar strategies to find a breakthrough and formulate a roadmap. 2. Refined content recommendation strategies by tailoring the algorithm model and optimising data sources, enhancing accuracy and coverage of the user avatar.3. Increased the new user retention by 4.7%. →Data monitoring and analysisDesigned and built data dashboards at multi-dimensions such as product granularity, and experimental granularity to facilitate monitoring, problem discovery, and experimental results analysis.

Senior Growth Product Designer in Baidu Knows & Baidu Feeds →Baidu Feeds Growth product manager (03/2019-12/2019) 1. Figured out the business and accomplished a clear user growth plan within 3 months. 2. Personalised home page content display strategies based on users' historical search behaviour and historical reading behaviour. 3. Increased Daily active users (DAU) by 2.1%. →Baidu Knows-App User Growth Business Manager (Supervise 3 people) (08/2018-03/2019) 1. Constructed the growth system from zero to one, which increased DAU by 263% within half a year (from 160k to 580k); won the only Best Project Award in Baidu Knows of Year 2018.2. Designed and developed several user acquisition functions, such as SMS, push recall mechanism, etc. Increased scale of new users by 248%. 3. Devised and operated a front-end gameplay function, back-end cash system, anti-cheating system, user recall system, and user feedback mechanism to increase user stickiness with the user retentionincreased by over 200%. →Baidu Knows-Institution Knows Product Manager (11/2017-06/2018) 1. Brand positioning: Researched competitive products, such as Weibo (Chinese Twitter), Zhihu(Chinese Quora). Clarified the position of Institution Knows then formed the user growth pattern. 2. Built complete product framework: Optimised the institutional certification and audit platform, institution data statistics system, homepage, and the front-end display of the question page. Filtered and refined the question bank. Achieved an increase by 7 times in question page view. 3. Reduced the Institutional complaint rate to zero and achieved over 80% institution application pass rate. Daily page view has increased from 600k to 5.25 million.

1. Research and analysis: Assembled and collected the live-streaming/video/social media products worldwide, enlightened the development of the YOLO prototype and a clear business goal.2. Designed and refined the app's main functions. 3. Released RedPocket feature first in China, increasing daily active users to 300k from 0.