Engineer Software

Yunze Qiu

646-***-**** ******@********.*** ***W 112th Street, #64B, New York, NY 10025

Education:

Columbia University in the city of New York Aug, 2020 - Dec, 2021

Master of Computer Science (Machine Learning Track)

Relevant courses: Machine Learning; NLP; Artificial Intelligence; Database

GPA: 3.75/4.0

The University of Sydney Feb, 2015 - Jan, 2019

Bachelor of Engineering Honors (Software Engineering)

Relevant courses: Algorithms; Data Structure; OO Design; Machine Learning; Computer Vision; Database System; Human-Computer Interaction; Operating Systems

Rewarded with Honors Class I (top 10% students)

Professional Experience:

Software engineer—Ainsworth Game Technology, NSW, Australia Apr, 2019 - Mar, 2020

Maintained and updated gaming system for new game features with a result of solving 20+ existing problems in system and resolving 2 hidden problems to increase stability of system

Updated application of game exhibition with 2 new functionalities including showing possible stages and rewards of games to be compatible with new features

Constructed 5 interfaces including game rewards and rewards history by node.js for a new system on Linux

Chaired one project to create a renting system including functionalities of locking up entire system, reminding users of valid time and paying money to unlock which contributed to growth of market share in South America

Remade old games with Unity engine and engaged in game designs from a software engineer perspective to give advices

Software development engineer—Simesoft, Nanjing, Jiangsu, China Dec, 2016 - Jan, 2017

Participated in creating, testing and managing e-commerce platform

Developed front-end pages including homepage and reflection page by node.js Student representative—USYD Mar, 2018 - Nov, 2018

Promoted communications between Engineering students and the University of Sydney

Collected feedback and suggestions from engineering students Software Projects Experience:

Image descriptors benchmark

Designed and formed a benchmark system for 8 image descriptors including Sift-based descriptors, Binary Descriptors and Deep-learning based descriptors and analyzed image descriptors using Python and MATLAB to generate a performance report of descriptors on different tasks Online study system

Implemented functionalities and built pages for online study system including registration, login, discussion board, making quiz, administration

Documented whole project including business case and Software Requirements Specification(SRS)

Supervised a team of 5 people with responsibilities to organize meetings, assign tasks, track progress, manage risks and ensure quality work

Behavior recognition system using machine learning in a VR game A Project with ALTA VR—Sydney, NSW

Established a data recorder program to record all parameters from Oculus VR equipment

Implemented a classifier utilizing Support Vector Machine to analyze and classify users’ behaviors into 5 categories

Developed a training dataset with 50,000 of players’ behaviors

Evaluated accuracy of trained classifier’s classifications using 10-cross validation and tuned classifier to get an accuracy of 80% in classifications of test data at last Professional Skills:

Programming Languages: Proficient in Java, Python; Skilled in C, C++ Database: Proficient in MySQL Front-end: Proficient in HTML, CSS, JavaScript; Skilled in node.js Back-end: Proficient in data structure; Skilled in algorithms, machine learning and data mining Methodology: Agile Personal Profile

Languages: native in Mandarin Interests: Board Games, Swimming, Badminton, Skiing

Contact this candidate