Shanpeng Wang Email & Phone Number

San Francisco Bay Area

• Developed an user-to-chatGPT chat feature in our iPhone app utilizing Swift and Node.js, enabling users to effortlessly seek expert guidance on dog-related queries, resulting in a 21% surge in user engagement and a 27% boost in average app usage time.• Contributed to an AI-powered recommendation system within the chat feature by Swift and Node.js, recommending highly personalized dog training courses and related products to users, driving an impressive 36% increase in course and product purchases and fueling substantial revenue growth.• Implemented a conversation sharing feature by Swift that supports users to seamlessly share their chat content across chat communities and external apps, increasing app visibility and expanding brand recognition.• Collaborated with product managers and UI designers to translate business requirements into technical specifications, ensuring the seamless integration of new features and enhancements into the existing system architecture.

Los Angeles, California, United States

• Designed and implemented new Rest API endpoints for Clique identification oracles via NestJs that provided identification and proofs of user behavior on web2 applications.• Integrated with third-party services and external APIs for the user authentication flow with OAuth2 protocol, which helps to protect user security and improve the speed of authentication and data access by 23%.• Revamped the back end structure of users’ web2 data acquisition process by GraphQL resulting in high system scalability improvement and 18% cost reduction spent on host.• Cached user temporary information with Redis, reducing the request latency by 30% from the original structure.

Toronto, Ontario, Canada

• Contributed extensively to the WebtoPDF project which is designed to “deeply print” websites into PDF, and includes the target page as well as all the web pages that the target web page links to.• Developed WebtoPDF management tab page on chrome extension by React where users can monitor and control the transferring process from website to PDF. (> 2 thousand users)• Improved back-end feature “hints” by Node.js, allowing password authentication and advanced transferring process.

Toronto, Ontario, Canada

• Participated in MOHLTC Generic-Data project; this project is a general data website used within the OMHLTC department of the government of Canada to collect, record, store and organize information about the company’s drug-related data, i.e., similar to the web version of Excel.• Created and deployed the user management system in jQuery and Node.js, including login and registration, SMS email authentication, user permission management and etc..• Configured the LDAP server to store, query user information, enhancing the efficiency of user verification and user information security.• Implemented back-end APIs by Node.js to receive, store and query data transmitted back by the front end; dealing with huge amount of company’s drug-related data efficiently.

Bachelor Of Mathematics, Double Major In Computer Science And Statistics

Master Of Engineering - Meng, Data Science

Master'S Degree, Data Science