Zhe Chen

MSCS @ Gatech🐝 | Ex-SDE Intern @ Snowflake❄️, DoorDash, Amazon | CS + DS @ UMich Alum

Atlanta, Georgia, United States

About

Hello, my name is Zhe (Luna) Chen. I am passionate about full stack/backend/frontend development. If you are hiring a software engineer, please don’t hesitate to reach out to me. I'd be happy to connect and learn more about the position. Thank you!

Experience

  • Software Engineer at Snowflake
    Jun 2026 - Present · 1 mo

  • Software Engineer at Snowflake
    Aug 2025 - Dec 2025 · 5 mos

    @ Data Pipelines Team

  • Software Engineer at DoorDash
    May 2025 - Aug 2025 · 4 mos

    @ Core Merchant Menu Team

  • Software Dev Engineer at Amazon
    May 2024 - Aug 2024 · 4 mos

    Innovatively engineered dynamic server-side configuration for client-side devices, enhancing flexibility and responsiveness. • Developed infrastructure within Apollo backend using Java and Kotlin. • Integrated dynamic config with Kindle iOS App, showcasing real-time behavior adjustments. • Achieved a 6% reduction in annual data processing costs by stopping the emission of 5.1% of total data that was deprecated, cutting waste and server load.

  • Software Engineer at Ecological
    Aug 2023 - Jan 2024 · 6 mos

    Ecological is a sustainable tech project group developing a system of apps to help consumers make more sustainable choices in their daily purchases. By providing users with sustainable purchase options, discount opportunities at partner stores, and personalized environmental impact analyses, we inspire and encourage eco-friendly decision-making. Responsibilities: • Building the backend of the sustainable lifestyle app to handle data processing and interaction using Express.js. • Leveraging React Native to create responsive and visually appealing UI for the mobile app, fostering user engagement. • Creating a robust REST APIs architecture with clear endpoints, data validation, and OAuth protocols, seamlessly interfacing with Square APIs, to retrieve transaction history data. • Deploying the server application in an AWS server using AWS Amplify and AWS Lambda frameworks.