Programming Languages: Python, C/C++, Java, MATLAB Computer Tools: Git

Binquan Wang Available From Dec ****

** ****** **., ******, ** 02148 Email: ********@*****.***

https://www.linkedin.com/in/binquanwang Mobile: +1-857-***-**** Education

Northeastern University, Boston, MA

Master of Science Candidate in Electrical and Computer Engineering (GPA: 3.6) Expected Dec 2020 Courses: Machine Learning, Algorithms and Data Structure, Computer Architecture, GPU Programming Basics, Computer Networks. etc.

Beijing Jiaotong University, Beijing, China

Bachelor of Science in Telecommunications (GPA: 3.7) June 2017 Work Experience

Corindus Vascular Robotics, Waltham, MA Jan – Aug 2020 Software R&D(Test) coop

Automation and manual Quality assurance for RSI(Remote Simulation Interface) web client

• Implemented test automation framework for cross-browser testing using Pytest, Selenium and Browserstack, to test the web UI behavior.

• Integrated testing framework with CI(Jenkins), configured master and slave nodes, and performed automated test on multiple test stations.

• Tested, tracked and reported bugs and recorded detail of defects on Jira. Automation testing and manual testing for Symbionix under simulated vascular interventions:

• Developed and maintained automation regression test framework using Pytest for Firmware releases.

• Created logging system and test cases on TDD framework, developed more than 20 automation test case scripts and integrated with GUI (Pyside).

• Monitored current fluoro time and location info, analyzed detail detector parameters like width, height and rotation.

Northeastern University, Boston, MA

TA working for Course “Linear Systems Analysis” (Graduate Level, 2019 Fall) Sept – Dec 2019

• Teaching assistance; homework/midterm/final grading; recitation Technical Skills

Programming Languages: Python, C/C++, Java, MATLAB Computer Tools: Git, Pytest, MongoDB, Browserstack, Appium, Selenium, Jira, Bitbucket Operating Systems: Windows, Linux

CI/CD: Jenkins, Gitlab, Circle CI, Docker

Project Experience

Northeastern University, Boston, MA

Optimization of Partial Discharge Characteristics of High Voltage Cable based on big data Sept– Dec 2018

• Completed the research of extracting features and PD model recognition based on big data.

• Studied the random forest method and Lasso method, and applied them to the identification of partial discharge signal.

• Using the simulation of Python to verify the effectiveness of the method. Analyzed the experimental results of each discharge type and calculated the statistical characteristic parameters of each set of data. Design of Interconnection Test Contrast tool of PDT(Police Digital Trunking) System Feb – June 2017

• Designed the contrast tool for comparing PDT system interconnection test using Python.

• Wrote the test plan and acquired all the interactive data using Wireshark to form test cases for contrast.

• Recorded bugs encountered in the testing process using the Bugzilla with device logs and Wireshark files.

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