This document is a resume for Qiuyang Ye that summarizes their education and experience. They received a Master's degree in Computer Science from USC with high honors and a Bachelor's degree in Computer Science from Tongji University also with high honors. For work experience, they completed internships building web and mobile apps using various programming languages and databases. They also supervised other students' projects and conducted their own research in areas like natural language processing and machine learning.

1. Qiuyang (Lanny) Ye
qiuyangy@usc.edu · (213) 713-0574 · 1194 W 30th St, Apt 2, Los Angeles 90007, CA
Education
University of Southern California (USC) LOS ANGELES, CA
M.S. in Computer Science · GPA: 3.81/4.0 May 2017
Tongji University SHANGHAI, P.R. CHINA
B.E. in Computer Science & Technology · GPA: 4.65/5.0 June 2015
Technical Skills
Advanced C/C++/MFC (12K lines), Python (5K lines), SQL, Django, Wxpython, Sqlite
Experienced Swift, C#, JAVA, JQuery, node.js, Parse, Scenekit/Spritekit, Linux Shell, mongoDB, html+css,
PHP, Ajax, Oracle, Bootstrap, Google APP Engine, AWS, Apache, ASP.NET
Speciality Natural Language Processing, RESTful Web Services, Machine Learning, Algorithm, Database,
Data Mining, Web Development, iOS Development
Work Experience
Software Engineer Internship at Agile Ramen LLC LOS ANGELES, CA
ConconApp June 2016 – Aug 2016
• Individually built the crawler in python to crawl anime/comic events from websites, retrieve events using Facebook
API, developed and hosted a node.js app on AWS to import and de-dupe events into backend.
• Closely worked with engineering mentors to migrate backend database. Built a management system in node.js for
staging the backend data using Parse API. Resolved the existing timezone issues in client app and backend server.
• Closely worked with product managers to add search filters, redesign the event listing tableView on iOS mobile app.
Course Producer of CSCI570 (Analysis of Algorithm) Jan 2016 – May 2016
• Evaluated homework and exams for more than 400 students and provided useful feedback for them.
Related Experience
USC Project Individual
Stock Search (Web app/iOS mobile app) Mar – May 2016
• Combined JQuery and Ajax technique to retrieve stock market data, with a stock price chart and news feed associated
with that stock through Markit On Demand, HighStocks, and Bing Search. Implemented the facebook "sharing" function
using Facebook API.
• Deployed the web project onto Google App Engine.
• Transplanted the same project onto iOS mobile version using swift 2.0.
Directed Research at USC/ISI 2 Master Students Supervised by Prof. Daniel Marcu
AI in Education Directed Research - Short answer scoring Jan 2016 – May 2016
• Modulized 3 basic algorithms’ building blocks, configured high performance computing clusters to run the code.
• Written python scripts to evaluate the performance of Jacaard similarity, Levenshtein distance, Word embedding
techniques on test texts.
USC Project 5 Master Students
Startrix Sept 2015 – Nov 2015
• Designed the basic mechanics of an ongoing iOS game based on 3D graphic lib SceneKit in Swift.
• Constructed a game database consists of 100K entries and implemented SQLite database manipulation interfaces
using SwiftData. Implemented constellation class which serve as a mediator between data and graphics.
• Developed basic camera functions including rotation and zooming.
Undergraduate Thesis Supervised by Prof. Renxian Zhang
Automatic Evaluation of English Essay Feb 2015 – June 2015
• Built a prototype of automatic English essay grading system based on machine learning models with natural language
processing techniques. Designed the UI and adapted the system into a web application using Django framework.
• Constructed a 500K-sample scale corpus and researched on the feature representation and learning model selection
using SK-learn, NLTK, and matplotlib in Python.
• System is capable of essay grading, spelling checking, and detection of grammatical errors involving prepositions.
The evaluation has a convincing level with a variety of feedback messages.