Junru Liu
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Second Year master student in Computer Science at Texas A&M University |
About me
I am a second year master student at Texas A&M University, majoring in Computer Science, Department of Computer Science and Engineering, College of Engineering.
I am now actively seeking 2024 SDE New Grad Opportunities! I am able to start in May 2024!
Education
Texas A&M University August 2022 - May 2024
Master of Science in Computer Science
GPA: 4.0 / 4.0
Xi'an Jiaotong-Liverpool University September 2018 - July 2022
Bachelor of Science in Information and Computing Science (First Class Honors)
(It is a confusing major name because what we learnt is actually Computer Science)Rank: Year 1: 1 / 173, Year 2: 1 / 430, Year 3: 5 / 286
GPA: 3.98 / 4.0
Skills
Python, Java, C, C++, HTML/CSS/JavaScript, SQL, MongoDB
PyTorch, Tensorflow, Spring Boot
Linux, PyMongo, Pandas, NumPy, Matplotlib, Plotly, Request, Flask, OpenCV
Languages
Chinese: natively fluent
Engligh: fluent
Spanish: conversational (CEFR A2)
Work Experience
Python Backend Intern
Xi'an Jiaotong-Liverpool University
October 2020 – March 2021
During this internship, I Worked with Beijing Telecom to build an intelligent policy management system for policy query and analysis. I developed the whole backend of this project.
Converted policy documents from Word to JSON and implemented automatic data entry into MongoDB database (400% more efficient)
Built a module of policy query by columns using PyMongo and adopted inverted index with Whoosh to support policy keyword searches (600% faster)
Implemented a policy analysis module for word cloud analysis and policy topic analysis
Python Full Stack Intern
Shanghai Ideal Information Industry (Group) Co.,Ltd
June 2020 – September 2020
During this internship, I worked in the center of research and developement at IDEAL, which was repsonsible for the 12345 hotline service in Shanghai. I explored some traditional techniques to complete some NLP tasks and provided analysis of ticket data.
Classified citizen complaints to various categories using text similarity techniques to assess municipal services
Developed a question and answering system with text similarity techniques to support intelligent citizen hotline
Established a web page which enables users to extract keywords in a document with 4 supported methods online
Frontend Intern
Emerson Electric (China) Holdings Co., Ltd.
July 2020 – September 2020
During this internship, I led a team to develop a Wechar mini program for Emerson to collect feedback from its customers and manage database. I mainly focuses on the frontend development and project management.
Led a team to develop a Wechat mini program that supports customers to submit their maintenance requirements and administrators to manage submitted maintenance orders
Designed the user interface of the mini program to avoid repeated user input when logging in afterwards
Developed the interaction between frontend and backend to support fast and correct data exchange
Projects
Second-hand Item Information Exchange Platform
University Coursework
Spetember 2021 – December 2021
During this coursework, we developed an information exchange platform for second-hand items at XJTLU based on Spring Boot and Vue in Scrum process.
Led a team to create a web application for university students to sell/buy second-hand items in scrum process
Developed user registration and product information display modules using Spring Boot and MyBatis to write user data into the database and pass the product data in the database to users
Tested the interface of password retrieval and product upload using JUnit to check that the code pass both normal and corner test cases
Large Efficient Flexible and Trusty (LEFT) Files Sharing System
University Coursework
October 2020 – December 2020
During this coursework, I developed a file synchronization program for large efficient file transfer among different nodes. This project achieves the functions of synchronization of new and updated files, and the resumption of transfer from interruption. Each node runs with the same codes.
Constructed a distributed file sharing application to support file synchronization among multiple peer nodes
Designed a new protocol based on TCP to achieve the fast synchronization of new and updated files among nodes despite the large file size
Developed the encryption function during file transfer to increase data security
Multi-class Sentiment Analysis
Self-learning Project
February 2021
During this project, I developed a CNN model to classify questions into 6 categories.
Practiced sentiment analysis
Learned PyTorch
MNIST Handwritten Digit Classification
MOOC Coursework
December 2019
During this coursework, I Developed a CNN model to predict handwritten digits 0-9 on MNIST dataset.
Learned some basics of Machine Learning
Practiced Tensorflow 1.x
Research Interest
My research interests include
Natural Language Processing
Machine Learning and Deep Learning
Data Mining
Research Experience
Summer Interniship
Pennsylvania State University
April 2021 - Present
We are working on the project of multilingual semantic parsing, which involves turning sentences in multiple natural languages to logical forms, such as, SQL, Prolog, and Funql.
Processed different datasets into a uniform format to publish a unified dataset for cross-lingual semantic parsing
Conducted literature review to select SOTA cross-lingual semantic parsing transfer models with typical methodologies
Demonstrated and analyzed performance gap of selected models on the unified dataset comparing different languages
Courses
At TAMU:
/Software Engineering / NLP / Computational Biology
At XJTLU:
/Calculus / Linear Algebra / Discrete Mathematics and Statistics / Java / Database / Data Structures / Computer Systems / Operating Systems Concepts / Algorithm / Computer Networking / Software Engineering / Decision Computation and Language(Automaton) / Machine Learning / Biocomputation / Big Data AnalyticsSelf Learning:
Python / C / C++ / Probability and Statistics / Tensorflow / Pytorch / CS224n (ongoing)