Jason Wang 王思驊

  Over 4 years of experience in the field of Front End and Web development, mainly focus on the area of performance optimization and development process.
  Dedicated into creating better user experience by improving processing performance and bringing better methods of structure and tools.
  Also a good team player, an active and passionate cooperator with colleagues in cross-functionality team.

Senior Software Engineer - Front End

Taipei City,Taiwan

[email protected]




  • JavaScript/ CSS3/ HTML5
  • Vue.js/ VueX/ Vue-Router
  • Vue-CLI/ Vite
  • Webpack/ Gulp


  • Node.js / Express
  • Puppeteer


  • GIT
  • SVN
  • Docker
  • GitLab-CI

Work experience

Ruten - PChome eBay Co., Ltd., Senior Front-end Engineer, Mar 2018 ~ Current

  • Optimizing & maintaining development tool/process of Front-end bundling and compiling
    • Update version of Webpack to ensure plugins in-use could cooperate with updated Acorn.js .
    • Utilize splitChunks to enable modules sharing of all entries and adjust Babel transpiling process.
    • Apply Workbox as our steady service-worker generator in replacement of sw-precache.
    • Resulted in reducing development time by 50%, build time by 65%.
  • Supporting revision control using GIT in replacement of SVN
    • Promote benefit of migrating to GIT in terms of better version controlling.
    • Develop and maintain CI process for Front-End codebase using GitlabCI.
    • Provide support on the whole process of migrating.
  • Improving page speed and UX in terms of core metrics of Web Vitals
    • Targeting Q&A section in Goods page, resulted in improving CLS to 0 and FCP under 1.5 second.
    • Targeting Store page, resulted in improving blocking time under 1 second .
    • Help a former colleague with content and publishing a book about Web Vitals.
    • Help colleague task with optimizing issues related to improving metrics' score.
  • Optimizing performance of Shopping Cart page in terms of page loading and processing time
    • Focus on modularizing VueX stores and preventing re-paint/re-flow.
    • Adjust code to better data structure and processing steps, decoupling render-related module and business-logic-related module.
    • Resulted in reducing initial loading time by 20%, cost of re-rendering time by 50%.
  • Developing & maintaining「露露通」- a messenger with chat-bot functionality
    • Following Git-flow practice to ensure better version control of components and maintainability.
    • Utilize Sentry.js as error tracking tool.
  • Developing team-level guideline of components and plugins with UI team
    • Specify and reinvent all plugins and shared components of our code base with documentation.
    • Utilize bit.cloud as our component versioning & serving platform.
  • Maintaining caching process respecting SEO
    • Focus on cache mechanism of Goods page and Search page.
    • Utilize Puppeteer as our content serving method to Google Bot.
  • Revising several pages with Vue.js and its ecosystem
    • Re-write pages from using jQuery, T3 Module library, PHP embedded HTML to Vue.js
    • Modularize code to better organized logic in respect of usage of Vue.
    • Embed tracking code including in-house logger and GA/GTM for user's footprint analysis.
    • Revising pages of our product including Entry page, Check-Out page, Shopping-Cart page, Customer service entry page.
  • Assisting managing a team of 3 members
    • Help resolving and consulting with members on technical issues.
    • Deliver code review.
    • Give mentorship to 2 members of other teams.


National Cheng Kung University

B.S. Computer Science, Sept. 2012 ~ July.2016

Graduation project: Adjusting and reconstructing Brain MRI images with nervous tract into 3D model

  Written in C language with OpenGL as rendering library. Applied RGB differentiation method onto 2 MRI raw image sets of the patient by pixel to obtain the main differences, following by adjusting these sets in order to get aligned with each other.

  Later on, filtered out irrational data of nervous tract data set and found correspondent data set of each nervous tract cluster by sorting the shortest path.

  In the end, generated 3D model of the combination of MRI image set and nervous tract set with OpenGL.

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