Liwen Du

**** ************ **, *******, ** *****

984-***-**** adv3w9@r.postjobfree.com linkedin.com/in/liwen-cynthia-du-b739731ab github.com/duliwencynthia Education

North Carolina State University Aug 2021 – Expected May 2023 Master of Computer Science Raleigh, NC

• Advanced Data Structures

• Software Engineering

• Design and Analysis of Algorithms

• Database Management Systems

• Object Oriented Design and Development

• Computer Network

Shanxi University Sep 2016 – Jul 2020

Bachelor of Science in Statistic Shanxi, Taiyuan

Technical Skills

Languages: Python, Java, JavaScript, C/C++, HTML/CSS, SQL, Ruby Frameworks/Tools: Spring, Spring Boot, Git, React.js, Node.js, Express.js, Vue.js, Django, Docker, Ruby on Rails, Android Studio, Linux, JUnit, RSpec, Angular.js, p5.js, Hadoop, Tensorflow, Unity Database/Cloud: MySQL, MongoDB, Heroku, AWS(EC2, S3, RDS), DynamoDB Applications: Github, GitLab

Experience

BridXe May 2022 - Aug 2022

Software Engineer Intern Los Angeles, CA

• Developed on a marketplace platform’s back-end service by JavaScript, which is for digital products to monetize and track resales and improve the customers’ real-world supply chain modeling.

• Set up product’s database on MongoDB and implement the API to inquiry data using Node.js and Express.js with functions of adding and deleting new products or brands and searching the existing products or brands.

• Developed the back-end service by Node.js to extract half a million data from database and sort it for front-end requirements, update data in database and make the interface to connect front-end. Also implemented NFT data analysis module in back-end with Python and Django. Eventually deployed back-end, API and database on AWS. Zhejiang University Sept 2020 - Jun 2021

Research Assistant Programmer Intern Hangzhou, Zhejiang

• Supported the NLP research to create a new online conversational diagnosis system for a better medical server.

• Built and trained the automatically medical response generation model using Knowledge Graph, RNN and LSTM by Tensorflow and the accuracy of dialogue comprehension had achieved at 60% accuracy which was the best performance at that time.

• Collected medical dialogue data by Scrapy from online medical consultation platforms like Haodaifu, the top 5 one in China, and improved the accuracy rate by 15% by pretraining the model with BERT. Projects

FreshTomatoes: Movie Information Platforms Java, JavaScript, Node.js, React.js, MySQL, AWSMay 2021 - Jun 2021

• Established a spider tool using Scrapy with python to collect movie information from the movie platform - IMDB’

• Designed a full stack web application that allows users to know the latest published, upcoming movies and old movies with their introductions and reviews. And implemented backend service with Java Spring.

• Created the frontend interface by Vue.js, React.js and Used p5.js to design graphical user interface and voice controlled interface to improve the users’ experience on website.

• Implemented a Chatbot with Node.js and insert the bot into main page to help user quickly find the items.

• Built MySQL with Spring and Java JDBC to collect and integrate the movies information and users’ comments and deployed the whole project on AWS with RDS, S3, EC2. Expertiza: Instructors and Students Communicate Web Ruby, HTML, Heroku, MySQL Oct 2021 - Nov 2021

• Supported Open Source Software Epertiza, a platform that instructors publish assignments and give grades to students, students give reviews to each other’s projects, to help instructors and students have better experience on projects.

• Designed and revised review grade trail and submission grade trail which made the platform 20% faster based on Ruby on Rails and HTML in order to assign and edit the grades, view the review reports and track all the history records

• Managed the MySQL database with new added data and deployed the web application on Heroku.

• Wrote unit test through RSpec for each function in the system and finished the description document for contributions.

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