Zhufeng Qiu

Nov. 2023 - Dec. 2023

Developed a MERN full-stack application that allows users to preview all the active teams/players, compare these teams/players, and create/update their fantasy team.
Built back-end with Node.js and Express.js, and used Mongoose ODM library to connect MongoDB Atlas database.
Designed front-end UI, and implemented it with React.
Utilized Google OAuth2.0 to take advantage of Google e-mail login/logout features
Configured and Deployed the project to Google Cloud.
Split project, assigned tasks, and monitored project progress.

Nov. 2023

Developed a full-stack application that allows users to look at all reviews/single review, and write/modify their own reviews.
Built back-end with Node.js and Express.js, and used Mongoose ODM library to connect MongoDB Atlas database.
Designed front-end UI, and implemented it with Pug, CSS and JavaScript.
Utilized Google OAuth2.0 to take advantage of Google e-mail login/logout features
Configured and Deployed the project to Google Cloud.

Feb. 2023 – May 2023

Developed a full-stack application for developers (that allow users) to authenticate, create profiles, and post to forums.
Built RESTful APIs with Node.js and Express.js, and used the Mongoose ODM library to interact with a MongoDB cloud database.
Designed front-end UI with Sass and implemented it with React, utilizing HTML, CSS and JavaScript.
Protected routes with JWT (JSON Web Tokens), and used express-validator express middleware to secure information across HTTP requests/responses.
Managed app state with Redux reducers and actions, and deployed the project to Heroku.

Jan. 2023 – Apr. 2023

Developed a student and course management platform using the Spring framework and Spring Boot extension.
Designed and implemented application architecture using Spring MVC, and interacted with the database using Spring JDBC and Spring Data JPA.
Managed user access and authentication using Spring Security, monitored application with the Spring Boot Actuator, and deployed the project to AWS Elastic Beanstalk.

Jan. 2023 – May 2023

Developed a car auction platform that allows user to register, login, logout, update bids and join a forum, and generating reports based on business insight for admin.
Implemented a MySQL database, and connected database using JDBC Connection Interface.
Built RESTful APIs using HttpServlet to access JDBC API via JSP technology.

Apr. 2020 – May 2020

Utilized OpenPose open-source library to recognize, normalize, centralize and label the skeleton structure in pictures.
Trained random forest (RF), multi-layer perceptron (MLP), support vector machine (SVM), and gradient boosting (GB) models based on skeleton construction data and its corresponding labels.
Achieved 88.28% accuracy rate for SVM and more than 90% accuracy rate for other models.

Projects