resume_wang xuhui

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Resume EDUCATION Carnegie Mellon University M.S. in ECE Expected: Dec 2017 | Pittsburgh, PA University of Southern California M.S. in Computer Science Jul 2016 – Dec 2016 | Los Angeles, CA GPA: 3.85 / 4.0 Coursework: Algorithms Analysis Web Technology Peking University B.A. in Economics Jun 2016 | Beijing, China GPA: 3.57 / 4.0 Coursework: Object-oriented programming method Advanced Computer Architecture Cryptography &Network Security SKILLS Proficient: JavaScript (Node.js, Angular.js, React.js, Express.js, jQuery) ● Java (Android, AWS) ● PHP(Hack) ● HTML ● XML ● CSS ● MATLAB ● Machine Learning Know about: C ● C++ ● Python ● Git ● Swift ● Ruby on Rails ● OpenCV ● LaTeX ● Natural Language Processing WORK EXPERIENCE Yuantiku Corporation Ltd. | software engineer intern Jan 2016 – Jun 2016 | Beijing, China Worked as a software engineer in Android team. Helped build quick input validation and response system in Xiaoyuan Search. Implemented and optimized machine learning algorithms in its internal search engine, reducing its response time by 20% and made it possible for different user data sets to interact with one another. Also, I worked with security team to help build the end-to-end encryption of Android app, iterating on anti- spam system, finally reducing the information leakage frequency by 80%. I contributed 20000+ lines of code in its ad module. Awarded “the best programmer” in our team. PKU data research center | Research assistant Sep 2014 – Jun 2015 | Beijing, China I coded up new analyzing tools for researchers. Used Symphony frameworks and shaped background platform for data processing using PHP. I used MySQL to handle high – frequency queries from users in Northern China, implemented an ADT for future researchers to use, and decreased the query error rate to less than 0.01%. PROJECTS Open Interactive Page for Retrieval of Congress Info. Sep 2016 – Dec 2016 | University of Southern California | Under Papa Used Angular.js framework to implement a RESTful API based on Sunlight; in this project, I used Bootstrap to optimize the front-end components, reducing the website's response time less than 1.5s loaded and less than 0.1s for each query; used PHP as the back-end script for interaction with server. Used Node.js and MongoDB to handle data preprocessing and storage on server. Open Library Application for PKU Students and Faculty Sep 2015 – Dec 2015 | Peking University ECE | 1 of 4 core coders Implemented a new programming interface for students to “retrieve” and “store” shared information. Implemented an image segmentation & deep learning algorithm (derived from CNN, which is used for processing large-scale images) for students to “friend”, “unfriend”, “make connections”, “arrange calendar”. More than 200 students in PKU and THU got involved and the recognition accuracy was over 90%. Recognition and Sensor System for Smart 3-D Printing April 2014 – August 2014 | BUAA | 1 of 3 major programmers | Under Zhang Hu Implemented and optimized basic sensing and modeling algorithms for 3-D printing process. Used Apache Spark MLlib to improve recognition accuracy and rule out noisy signals. Built a bidirectional upload/download system for students to interact with their fellow peers about new ideas by Java, MySQL and PHP. Improved the recognition efficiency by 40%, lower the Client response time by 70%, and thus helped improve our printing strategy and broadened our consumer base to over 1000 students. Xuhui Wang [email protected] | LinkedIn: //xuhui-wang | GitHub: //Xuhui-Wang 213-245-3561 | 5000 Forbes Avenue, Pittsburgh, PA 15213

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Page 1: Resume_Wang Xuhui

Resume

EDUCATION

Carnegie Mellon University

M.S. in ECE

Expected: Dec 2017 | Pittsburgh, PA

University of Southern California

M.S. in Computer Science

Jul 2016 – Dec 2016 | Los Angeles, CA

GPA: 3.85 / 4.0

Coursework:

Algorithms Analysis

Web Technology

Peking University

B.A. in Economics

Jun 2016 | Beijing, China

GPA: 3.57 / 4.0

Coursework:

Object-oriented programming method

Advanced Computer Architecture

Cryptography &Network Security

SKILLS

Proficient:

JavaScript (Node.js, Angular.js, React.js,

Express.js, jQuery) ● Java (Android, AWS) ●

PHP(Hack) ● HTML ● XML ● CSS ● MATLAB ●

Machine Learning

Know about:

C ● C++ ● Python ● Git ● Swift ● Ruby on Rails ●

OpenCV ● LaTeX ● Natural Language Processing

WORK EXPERIENCE

Yuantiku Corporation Ltd. | software engineer intern

Jan 2016 – Jun 2016 | Beijing, China

Worked as a software engineer in Android team. Helped build quick input validation and

response system in Xiaoyuan Search. Implemented and optimized machine learning

algorithms in its internal search engine, reducing its response time by 20% and made

it possible for different user data sets to interact with one another. Also, I worked with

security team to help build the end-to-end encryption of Android app, iterating on anti-

spam system, finally reducing the information leakage frequency by 80%. I contributed

20000+ lines of code in its ad module. Awarded “the best programmer” in our team.

PKU data research center | Research assistant

Sep 2014 – Jun 2015 | Beijing, China

I coded up new analyzing tools for researchers. Used Symphony frameworks and shaped

background platform for data processing using PHP. I used MySQL to handle high –

frequency queries from users in Northern China, implemented an ADT for future researchers

to use, and decreased the query error rate to less than 0.01%.

PROJECTS

Open Interactive Page for Retrieval of Congress Info.

Sep 2016 – Dec 2016 | University of Southern California | Under Papa

Used Angular.js framework to implement a RESTful API based on Sunlight; in this project, I

used Bootstrap to optimize the front-end components, reducing the website's response time

less than 1.5s loaded and less than 0.1s for each query; used PHP as the back-end script for

interaction with server. Used Node.js and MongoDB to handle data preprocessing and

storage on server.

Open Library Application for PKU Students and Faculty

Sep 2015 – Dec 2015 | Peking University ECE | 1 of 4 core coders

Implemented a new programming interface for students to “retrieve” and “store” shared

information. Implemented an image segmentation & deep learning algorithm (derived from

CNN, which is used for processing large-scale images) for students to “friend”, “unfriend”,

“make connections”, “arrange calendar”. More than 200 students in PKU and THU got

involved and the recognition accuracy was over 90%.

Recognition and Sensor System for Smart 3-D Printing

April 2014 – August 2014 | BUAA | 1 of 3 major programmers | Under Zhang Hu

Implemented and optimized basic sensing and modeling algorithms for 3-D printing process.

Used Apache Spark MLlib to improve recognition accuracy and rule out noisy signals. Built a

bidirectional upload/download system for students to interact with their fellow peers about

new ideas by Java, MySQL and PHP. Improved the recognition efficiency by 40%, lower

the Client response time by 70%, and thus helped improve our printing strategy and

broadened our consumer base to over 1000 students.

Xuhui Wang

[email protected] | LinkedIn: //xuhui-wang | GitHub: //Xuhui-Wang

213-245-3561 | 5000 Forbes Avenue, Pittsburgh, PA 15213