Hello!

I'm Anshul Vyas

Staff Software Engineer at Turo

About Me

I am a Staff Android Engineer with over 7 years of experience building production-grade mobile applications at scale. Currently at Turo, the world's largest car-sharing marketplace, I lead initiatives that bridge product delivery and core architecture. My foundation is the modern Android stack, with a strong focus on maintainable systems and scalable developer tooling. Today, I'm leveraging AI orchestration and agentic workflows to evolve into a high-leverage generalist while being rooted in Android. Based in the SF Bay Area, I'm actively growing my presence in the community through technical writing and mentoring.

Kotlin Android Jetpack libraries Coroutines Python Gradle

Experience

Staff Software Engineer

Turo

Jun 2023 - Present
  • Implemented host-side business and pricing management features using Jetpack Compose, Kotlin Coroutines, and MVI architecture, delivering bulk editing capabilities that reduced host management time by 95%.
  • Spearheaded Android release process modernization with CI/CD workflows on GitHub Actions, slashing weekly manual work from 6 to under 2 hours and boosting team efficiency by 66%.
  • Aligned Android platform with Web and iOS by automating API model generation from a central OpenAPI spec via GitHub Actions, achieving 100% contract compliance on new feature specs.

Senior Software Engineer

Turo

Jun 2021 - Jun 2023
  • Re-architected 10+ feature screens from legacy Java to modern Android (Kotlin, Coroutines, Jetpack Compose), eliminating technical debt and streamlining development workflows.
  • Owned localization pipeline migration to GitHub Actions, reducing translation job execution time by 50% while preserving existing developer workflow.

Android Engineer

Cognoa

Sep 2018 - Jun 2021
  • Led app re-architecture efforts, modularizing and defining MVVM flow using RxJava, Dagger2, Kotlin, and Gradle modules, achieving 12% tech debt reduction.
  • Reduced Android app size by 41% through efficient image caching and compression using the Picasso image library and Retrofit.
  • Engineered deep link and redirects navigation system (external/internal) using AirBnb's DeepLinkDispatch library, resulting in a 10% increase in user sign-up/login from emails and SMS.
  • Implemented parallel testing workflow with Flank, Fastlane, and Firebase Test Lab, reducing test execution time and cost by 60%.

Education

Master of Science, Computer Science

San Francisco State University

Dec 2017

    Bachelor of Engineering, Computer Science & Engineering

    Rajiv Gandhi Technical University

    May 2014