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Ying-Ru Fang
Aspiring Software Engineer
Santa Clara, CA, United States . [email protected]

Skills


Programming Languages

  • JavaScript
  • TypeScript
  • Java
  • Python
  • SQL
  • MatLab


Web Techniques

  • HTML/CSS
  • SCSS/SASS
  • Bootstrap
  • React
  • Vue
  • Jest
  • JUnit
  • WebPack


Tools/Development

  • Git
  • Chrome Developer Tool
  • CI - Github Action
  • Jira
  • Slack

Work Experience

Amazon.com - Software Development Engineer Intern (Jun. 2022 - Sept. 2022) 

  • Upgraded customer clickstream feedback data metrics for Shipment Management Website Application in Amazon Vendor Central platform by React and TypeScript.
  • Published metrics data based on the user journeys to Amazon data lake; consumed metrics data by Amazon ETL tools to help measure customer UX success metrics. 

Vynca (Now VyncaCare) - Frontend Engineer (Jul. 2018 - Sept. 2019) 

  • Developed web UI features, enhanced UX, and migrated an SSR React web app into a client-side rendering React SPA that integrates Node.js back-end APIs in Microservices.
  • Increased 50% unit test coverage for a React web product by Jest framework and passed GitLab CI pipelines for 3 environments.
  • Extended an internal tool to generate customized 15+ features of JSON Schema for multiple end-of-life eDocuments; integrated eDocuments into commercial web platforms.
  • Collaborated with 12 engineers, prioritized breakdown tasks, and conducted MVP process through a weekly scrum from idea to commercialization for features reaching 10+ business partners in the USA.

Appmaster - Software Engineer (Sept. 2017 - Jun. 2018)

  • Saved 30% development time with reusable React UI components and Sass modules; launched an MVP for a shopping platform by server-side rendering React and Redux within 3.5 months.
  • Partnered with back-end engineers to integrate Node.js RESTful APIs, and added new features including Facebook login, Messenger SDK, Google Analysis, Google Maps, and online payment service.

USI Group Corp. - Planning Coordinator (Aug. 2016 - Jul. 2017)

  • Gathered marketing data by Python crawlers and presented with visualized chart; built a Python time series machine learning model to improve human prediction errors by 17% for future Styrene prices.

Education


University of California, Irvine, CA, United States - Master of Software Engineer (Sept. 2021 - Dec. 2022)


National Taiwan University, Taiwan - Master of Science in Chemical Engineering (Sept. 2014 - Jun. 2016)


National Cheng Kung University, Taiwan - Bachelor of Science in Chemical Engineering (Sept. 2009 - Jun. 2013)