Wenzhen Gong

Wenzhen Gong Email and Phone Number

Software Engineer @ Kaskade - A server benchmarking tool for developers @ Kaskade (Open Source)
Wenzhen Gong's Location
Greater Vancouver Metropolitan Area, Canada
Wenzhen Gong's Contact Details

Wenzhen Gong personal email

n/a
About Wenzhen Gong

Skilled, motivated software engineer working day to day with React and NodeJS while contributing to open source community.Co-creator of Kaskade - A server benchmarking tool, to help developers test server capacity before deployment by launching multiple worker threads to mimic real user activities, realizing multithreading in javascript. Recent passions include Next.js and GraphQL.Recemt talks include "Vite - A build tool alternative"Check out my work: www.github.com/wenzhen-gong

Wenzhen Gong's Current Company Details
Kaskade (Open Source)

Kaskade (Open Source)

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Software Engineer @ Kaskade - A server benchmarking tool for developers
Wenzhen Gong Work Experience Details
  • Kaskade (Open Source)
    Software Engineer
    Kaskade (Open Source) Nov 2023 - Present
    • Utilizing Python scikit-learn library to perform regression analysis on number of requests vs time to give users suggestions about possible algorithm optimization• Created multiple web workers to mimic real applications of deployed servers by sending identical series of HTTP requests concurrently to the server users want to perform load tests on.• Built a GUI with Node.js Electron so that users can customize parameters for load tests with additional functionalities like saving test result logs locally and adding an interactive user interface• Applied built-in Node http module to minimize external dependencies while allowing low-level control, utilizing direct interaction with underlying HTTP protocol and offering flexibility of full CRUD method request customization and instantly extract response header information to provide valuable server metrics• Compacted Kaskade source code into a node module and published it on NPM so that it is available publicly.
  • Applied Biological Materials
    Information Technology Specialist
    Applied Biological Materials Jun 2018 - Present
    Richmond, British Columbia, Canada
    • Debugging company website’s frontend codebase developed in React• Maintaining the company's MySQL database to ensure data completeness and integrity
  • Baby Enroute
    Database Administrator
    Baby Enroute Jan 2017 - Jan 2018
    Richmond, British Columbia, Canada
    • Maintained the retailer’s Quickbooks and Magento’s SQL databases across Canada, running periodic SQL queries to ensure data completeness and integrity.• Completed data migration from Magento 1 to Magento 2 for various databases and from Quickbooks to LightSpeed
  • Community Sift
    Data Analyst
    Community Sift Jun 2016 - Sep 2016
    British Columbia, Canada
    • Set up PySpark infrastructure on EC2 instance and fetched data from S3 bucket.• Finished preliminary mathematical works such as health score definition, benchmarks and data modeling methodology to lay a foundation for Subreddit health level benchmarking.

Wenzhen Gong Skills

C++ Matlab Java Microsoft Office Python Machine Learning Data Mining Big Data Linear Regression Microsoft Excel Microsoft Word Powerpoint Sql Logistic Regression Data Classification Unsupervised Learning Opencv Image Segmentation Imagej Oracle Sql Developer Spatial Databases

Wenzhen Gong Education Details

Frequently Asked Questions about Wenzhen Gong

What company does Wenzhen Gong work for?

Wenzhen Gong works for Kaskade (Open Source)

What is Wenzhen Gong's role at the current company?

Wenzhen Gong's current role is Software Engineer @ Kaskade - A server benchmarking tool for developers.

What is Wenzhen Gong's email address?

Wenzhen Gong's email address is go****@****ood.com

What schools did Wenzhen Gong attend?

Wenzhen Gong attended University Of Southern California, Codesmith, Simon Fraser University, University Of Southern California.

What skills is Wenzhen Gong known for?

Wenzhen Gong has skills like C++, Matlab, Java, Microsoft Office, Python, Machine Learning, Data Mining, Big Data, Linear Regression, Microsoft Excel, Microsoft Word, Powerpoint.

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