PC

Peng-Yu Chen

Software Engineer New York

About

Bio

Hi, I'm Peng-Yu Chen, originally from the beautiful island of Penghu in Taiwan.

I build apps for a living and for fun. By day I'm a Software Engineer in NYC; by night I'm shipping side projects and iOS apps, usually chasing whatever idea won't leave me alone.

I care a lot about craft — clean code, thoughtful conventions, and the little details that make software feel just right.

Fun Facts

Wendy's Chicken is my first meal in the US.

C is the first programming language I learned.

I know a little Japanese.

I watch animes.

My cat is named "Lola".

Keywords

Coding, Traveling, Workout, Swimming, Walking, Foodie, Reading, Dry weather, Snow.

Projects

Zestimer

Native iOS HIIT/interval workout timer with voice cues, haptics, and an AI workout builder.

zestimer.com

Furioke

Turns songs you already stream into Japanese lessons — synced lyrics, furigana, and flashcards on web, iOS, and Android.

furioke.com

AppShapr

Drop in your screens, style them, and export every size and language the App Store asks for.

appshapr.com

Open Source

CLRS Solutions

Solutions to exercises and problems in Introduction to Algorithms (CLRS) — 5K+ stars, 1K+ forks on GitHub.

walkccc.me/CLRS

LeetCode Solutions

Readable solutions to 3,500+ LeetCode problems in C++, Java, and Python.

walkccc.me/LeetCode

Work

Google

Software Engineer

June 2022 - Present

New York, NY

Snap Inc.

Software Engineer

March 2022 - June 2022

New York, NY

  • Built messaging infrastructure for a single and consistent logic in C++ to bridge iOS and Android with backend
  • Sped up the messaging experience in fetching feed and syncing feed by parallelization for 20% through A/B study
  • Implemented GoogleTest to cover 99% of the business logic in both unit testing and integration testing

Meta

Software Engineer Intern

May 2021 - August 2021

New York, NY

  • Established GraphQL APIs by Hack and created Python scripts that call the APIs to onboard Jest tests, allowing iOS and Android developers to have a uniform script to onboard newly written Jest tests
  • Recommended trial numbers to lower the standard deviation of metric values by over 25% for three Jest tests
  • Tinkered new formula for reasonable trial numbers with senior engineers and reported the process in daily standup

Education

New York University

M.S. in Computer Science

2020 - 2021

New York, NY

National Taiwan University

B.S. in Computer Science

2015 - 2018

Taipei, Taiwan