Xinze zhang
XinZe Zhang
------------ | ------------ | San Francisco, CA
EDUCATION
M.S. Computer Science May 2019 - Present
San Francisco State University (San Francisco, CA)
• Expected Graduation Date: June 2021
• Courses: Analysis of Algorithms II, Introduction to Database System, Software Engineering, Advanced
Operating Systems
B.S. Computer Science and Technology Sept. 2014 - June 2018
University of Electronic Science and Technology of China (Chendu, China)
EXPERIENCE
Research Assistant June 2020 - Present
San Francisco State University (San Francisco, CA)
• Assisted professor in researching on differentially private empirical risk minimization
• Used RNN and CNN algorithm to compare predication accuracy and improved RNN algorithm
Software Develop Intern June 2018 - Aug. 2019
China Electronics Corporation (Beijing, China)
• Developed Management System Application based Java Spring Boot
• Integrated artificial intelligence ability to Application to understanding, interpreting documents titles.
• Applied ANN to sort document and improved by 2.6% accuracy
Research Assistant Sept. 2017 - March 2018
University of Electronic Science and Technology of China (UESTC) (Chendu, China)
• Presented an unsupervised segmentation algorithm using Markov random field models for color textures
• Utilized the xgboost classifier for a multi-label and multi-class image classification
• Tested the prediction accuracy using xgboost model with MNIST cases
Software Design and Develop Intern Jul. 2016 - Sept. 2016
Huadi Company (Chendu, China)
• Designed the online shopping front of Huadi application using structs 2.0 and html in Java, and developed
the database using MySQL
SOFTWARE PROJECTS
SFSU Store App
• Developed an web application using JavaScript that allows users to sell products
• Created search ability by using express mid ware libraries
• Designed backend server based on express, added privacy for data and stored on AWS server
• Utilized: JavaScript, express, Persistent Data, Cloud Server, Bootstrap, and MD5 Encryption
News App
• Created an IOS application using Swift to provide latest news
• Used RestKit and AFNetworking libraries to collect news
• Applied dashboard framework to create application home page, news page
• Utilized: Swift, SQLite, Websocket
Intelligent Management System
• Developed web application to process office affairs
• Implemented front using React and designed backend using sprintboot
• Added artificial intelligence features using tensorflow frame to sort documents
• Utilized: Java, JavaScript, SpringBoot, React, Docker, Mysql, and CentOs
Pinpoint the user's store in the mall
• Coded Machine Learning using xgboost on Tensorflow to train pinpoint users’ position in the mall
TECHNICAL SKILLS
Software: Java, C/C++, SQL, Python, Verilog, JavaScript, HTML, Swift, Tensorflow, Structs2.0, Spring Boot,
Express, React, Spark, MySQL, Docker, Maven, Mongodb, AWS, Unix, Github
XinZe Zhang
------------ | ------------ | San Francisco, CA
EDUCATION
M.S. Computer Science May 2019 - Present
San Francisco State University (San Francisco, CA)
• Expected Graduation Date: June 2021
• Courses: Analysis of Algorithms II, Introduction to Database System, Software Engineering, Advanced
Operating Systems
B.S. Computer Science and Technology Sept. 2014 - June 2018
University of Electronic Science and Technology of China (Chendu, China)
EXPERIENCE
Research Assistant June 2020 - Present
San Francisco State University (San Francisco, CA)
• Assisted professor in researching on differentially private empirical risk minimization
• Used RNN and CNN algorithm to compare predication accuracy and improved RNN algorithm
Software Develop Intern June 2018 - Aug. 2019
China Electronics Corporation (Beijing, China)
• Developed Management System Application based Java Spring Boot
• Integrated artificial intelligence ability to Application to understanding, interpreting documents titles.
• Applied ANN to sort document and improved by 2.6% accuracy
Research Assistant Sept. 2017 - March 2018
University of Electronic Science and Technology of China (UESTC) (Chendu, China)
• Presented an unsupervised segmentation algorithm using Markov random field models for color textures
• Utilized the xgboost classifier for a multi-label and multi-class image classification
• Tested the prediction accuracy using xgboost model with MNIST cases
Software Design and Develop Intern Jul. 2016 - Sept. 2016
Huadi Company (Chendu, China)
• Designed the online shopping front of Huadi application using structs 2.0 and html in Java, and developed
the database using MySQL
SOFTWARE PROJECTS
SFSU Store App
• Developed an web application using JavaScript that allows users to sell products
• Created search ability by using express mid ware libraries
• Designed backend server based on express, added privacy for data and stored on AWS server
• Utilized: JavaScript, express, Persistent Data, Cloud Server, Bootstrap, and MD5 Encryption
News App
• Created an IOS application using Swift to provide latest news
• Used RestKit and AFNetworking libraries to collect news
• Applied dashboard framework to create application home page, news page
• Utilized: Swift, SQLite, Websocket
Intelligent Management System
• Developed web application to process office affairs
• Implemented front using React and designed backend using sprintboot
• Added artificial intelligence features using tensorflow frame to sort documents
• Utilized: Java, JavaScript, SpringBoot, React, Docker, Mysql, and CentOs
Pinpoint the user's store in the mall
• Coded Machine Learning using xgboost on Tensorflow to train pinpoint users’ position in the mall
TECHNICAL SKILLS
Software: Java, C/C++, SQL, Python, Verilog, JavaScript, HTML, Swift, Tensorflow, Structs2.0, Spring Boot,
Express, React, Spark, MySQL, Docker, Maven, Mongodb, AWS, Unix, Github