Vincent Chen

SDE @ AWS

United States

About

I am an open-minded, inquisitive individual with a driven mindset. My primary interests include exploring new tech and discovering ways to introduce more digital workflows to this world. Besides, I am passionate about developing innovative ideas, tackling complex problems, and managing risks.

Experience

  • Software Engineer at Amazon Web Services (AWS)
    Feb 2024 - Present · 2 yrs 5 mos

    - Delivered critical operational safety controls for an intent-driven networking platform managing 100+ data center fabrics and millions of devices, reducing API latency by 95% and achieving sub-second response times - Architected self-healing test automation infrastructure to reduce test setup time by 95% (60 min → 5 min) and delivered technical training to enable 5+ customer teams to use the automation - Leveraged infrastructure-as-code to enable zero-touch region builds across 30+ AWS regions, standardizing deployments and eliminating manual provisioning from region expansion workflows - Eliminated 100% false-positive rates in production canaries and reduced operational tickets by 60% (177 → 77)

  • Software Engineer Intern at Amazon Web Services (AWS)
    May 2023 - Aug 2023 · 4 mos

    - Launched a dry run service to quantify device coverage for 1.4 million routers/devices in the Amazon network

  • Software Engineer at Medtronic
    Jan 2022 - Aug 2022 · 8 mos

    - Configured WebDriverAgent capabilities to reduce weekly iOS test startup error rate by 80% (131 to 26) - Implemented context switching between native and webview using Java to enhance test coverage by 30% - Utilized Microsoft Azure API to cut down 70% manual effort in automation test setup

  • Software Engineer Intern at Medtronic
    Jun 2021 - Aug 2021 · 3 mos

    - Created a patient data backup feature for the MyCareLink Heart app to mitigate the risk of losing 90% of patient data

  • Software Engineer Intern at Kohl's
    Jun 2020 - Aug 2020 · 3 mos

    - Developed a control panel to automate the process of controlling 100+ Google virtual machines with a 64-node caching layer as well as a plethora of other large-scale infrastructure, all powering the core inventory promising system behind kohls.com - Saved $300,000 per year by eliminating the need for an administrative team to manage the virtual machines - Empowered 25 development teams to utilize automation to administer the virtual machines