Software Engineering Machine Learning

Qi Liu

Arlington, VA United States *****.*****@*****.*** +1-703-***-****

EDUCATION

The George Washington University Washington D.C. 06/2023-06/2025 Master of Science in Computer Science

Coursework: Design & Analysis of Algorithm, Computer Vision, Advanced Software Paradigms, Unix Systems Administration, Software Engineering, Object-Oriented Design, Machine Learning Jiangxi University of Science and Technology Nanchang, China 09/2018-06/2022 Bachelor of Engineering, Software Engineering (Mechanical design, Manufacturing and Automation)

Coursework: C Language, C++, Data Structure, JSP System Design, Introduction to Database Systems, Operating System, Computer Network Basis, Principles of Computer Organization TECHNICAL SKILLS

Programming: Java, Kotlin, C, C++, Python, JavaScript, HTML, Go

Database & tools: PostgreSQL, Elasticsearch, AWS (EC2, RDS), Google Cloud (GCE, GCS, GAE)

Framework & Tools: Spring Boot, ReactJS & Ant Design, Jetpack Libraries, Express & Node.js, Docker PROJECT

OnlineOrder: A Spring Boot based online food ordering web application

Developed an online food ordering web application using Spring and React.

Implemented CRUD REST APIs with Spring for user registration, menu search, ordering, and checkout.

Utilized Spring Data JDBC to interface with a PostgreSQL database on AWS RDS.

Implemented authentication with Spring Security and employed session-based mechanisms.

Built the frontend using ReactJS and Ant Design for seamless order placement.

Containerized the application and deployed it to AWS App Runner via AWS ECR for better availability. Around: A Cloud and React based Social Network

Developed a social network web application for users to create and browse posts using Go and React.

Enhanced user authentication by implementing a token-based registration/login/logout flow using React Router v4 and JWT.

Integrated Elasticsearch to boost search speed and precision for recent/personal posts, reducing latency and improving relevancy.

Deployed the application via Google App Engine and performed tests using Google Cloud Monitoring and Apache JMeter with ~100 QPS and 200ms in latency.

Mini Spotify: Full-Stack: Android Spotify-like music player

Designed a Kotlin Spotify favorite app using Android Jetpack Library and Hilt Dependency Injection.

Implemented Bottom Bar & App Navigation with Jetpack Navigation following MVVN.

Created UI in Jetpack Compose following MVVM architecture.

Handled mock RESTful API requests with Retrofit and JSON Server.

Enabled local caching for favorites using Room Database.

Integrated Google Exoplayer for global music playback. NextAI: Full-Stack Web-Based Q&A AI Agent for PDF Document Queries

Built an interactive UI page enabling users to effortlessly upload and interact with PDF documents in real-time using ReactJS and Ant Design.

Created RESTful APIs with Express and Node.js, handling 1,000+ requests per second.

Used an in-memory vector store to cache generated embeddings for fast retrieval.

Integrated GPT-3.5-turbo API and Langchain for advanced document loading, splitting and retrieval. RESEARCH PROJECT

Modern Data Visualization of Big Data 09/2022-11/2022 Research Project, Instructor: Mark Vogelsberger (Massachusetts Institute of Technology)

Analyzed and visualized 5 years of housing data spanning pre- and post-COVID periods for three Chinese cities, using Python with Pandas and Matplotlib, across 270,000 records.

Applied machine learning to forecast COVID-19’s greater impact on housing prices in non-central Chinese cities, with findings submitted for publication.

Analyzed COVID-19's impact on housing markets in different types of Chinese cities, offering forecasts and policy insights

(submitted for publication).

CERTIFICATES

Technical: National 3D Technology Application Capability Certification (3Dv4)

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