Andrew Zheng

Staff Software Engineer, ML Platform | ex-Uber

New York City Metropolitan Area

About

* I am a highly adaptable and impact-driven staff ML Platform engineer. * I am also a curious learner who enjoys mentoring and upleveling my teammates. * Some of the domains I'm interested but not limited to are SaaS, productivity, software tooling and AI applications and platform. * I am a former iOS app developer with 7+ years of experience.

Experience

  • Staff Software Engineer at Afresh
    Jul 2023 - Present · 3 yrs

    ML Platform

  • Senior Software Engineer at Bolt
    Jun 2022 - Feb 2023 · 9 mos

    Shopper Engagement

  • Senior Software Engineer at Better
    Nov 2020 - Apr 2022 · 1 yr 6 mos

    Mortgage Engine Platform

  • Uber (5 yrs 10 mos)
    • Senior Software Engineer II, Uber Eats
      Feb 2019 - Jun 2020 · 1 yr 5 mos

      Backend Engineer Working with enterprise partners to integrate delivery in their own apps.

    • Senior Software Engineer II, Uber Freight
      Jun 2017 - Jan 2019 · 1 yr 8 mos

      iOS Lead and Backend Engineer Worked on improving freight driver experience. Worked on web and backend to integrate CRM tool to improve onboarding funnel.

    • Senior Software Engineer, Shared Rides
      Sep 2015 - Jun 2017 · 1 yr 10 mos

      iOS Engineer and Project Lead Worked on improving uberPOOL experience and collaborated in several cross-team high-urgency Rider projects.

  • Software Development Engineer at Amazon
    2011 - 2014 · 3 yrs

    Kindle for iOS • Iterated and developed features such as rapid and multi-colored highlight and metrics logger for over a dozen major releases of Kindle for iOS • Prototyped continuous reading for accessibility users, which laid the foundation for Kindle with VoiceOver (AppleVis iOS App Hall of Fame Inductee) • Led planning and standup, backlog management, confirming priorities and clarification of requirements as a scrum master Kindle Cloud Reader • Developed features such as store integration and book sampling for HTML5- based Kindle Cloud Reader (v1) supporting Chrome, Safari and iPad.