Hi,
I'm Yifei Zhou

i am into

About Me

About Me

I'm Yifei Zhou

Master's Student in Computer Science

Hi, I'm a Master's student majoring in Computer Science at Brandeis University.
I'm actively looking for a full-time software engineering role!

I have many internships and projects in software engineering areas, including:

  • Software Engineering Internship at Meta
  • Software Development Internship at Prime Vision
  • Software Engineering Co-Op & System Simulation Internship at Cummins Inc.
  • Full-stack Web project for Chinese Food Recipes and Orders Website
  • Full-Stack Compiler Development project

email : yfzhou23@gmail.com

place : Natick, MA - 01760

Resume

Skills & Abilities

My Education

Master of Science in Computer Science

Brandeis University

Aug 2023 to Dec 2025 | Pursuing

Master of Science in Mechanical Engineering

Purdue University

Aug 2019 to Dec 2021 | Completed

Work Experience

Meta

Software Engineering Intern

May 2025 to Aug 2025

  • Rebuilt Instagram’s Blue Badge Request Verification Form for businesses and public figures on Meta’s internal server-driven UI framework in Hack (PHP), delivering a unified experience across iOS, Android, and Instagram Lite.
  • Enhanced the product with new capabilities and improved UX, including an upgraded front-end design, smoother user interactions, mobile document image capture/upload/removal, and streamlined submission confirmation flows.
  • Designed and implemented an automated screening pipeline to validate user inputs, reject ineligible submissions, and route approved applications to internal databases for human review.
  • Launched via controlled rollout (from 10% to 100% of users) with robust event logging, enabling A/B testing, health monitoring, and data-driven insights from millions of weekly visits and tens of thousands of weekly submissions.
  • Developed comprehensive automated test suites (end-to-end, screenshot, and unit tests) to ensure functional correctness and visual consistency across all supported platforms.
  • Improved input state handling and eliminated redundant code paths for better safety, maintainability, and performance.

Prime Vision

Software Development Intern

Jun 2024 to Jan 2025

  • Developed deep reinforcement learning algorithms in PyTorch to optimize robots’ shortest path-finding solutions.
  • Deployed algorithms in a Flask app on Azure, enabling C++ back-end interaction for robot control via REST APIs.
  • Developed integrated MongoDB and Redis database system to store package details and real-time robot sorting data.
  • Built Django and FastAPI back-end in Python to search, process packages, find target bins, and assign sorting robots.
  • Designed Vue.js front-end with an interactive dashboard for real-time search, filter, and visualization of package details.
  • Collaborated with USPS clients to enhance robot package sorting efficiency in various USPS warehouses by 30%.

Cummins Inc.

Software Engineering Co-Op

Jan 2023 to May 2023

  • Developed a modular data analysis workflow application, accelerating the data analysis process by 100%:
  • Built the back-end with Spring Boot in Java for streamlined data analysis operations with connected modules.
  • Designed the front-end with React in JavaScript to support the creation and integration of data analysis modules.
  • Developed core modules within this workflow application for data loading, processing, and quality checks:
  • Designed front-end, back-end, and PostgreSQL database for data quality checks and reports generation.
  • Streamlined the CI/CD pipeline using GitHub Actions, enhancing development efficiency and deployment speed.

Cummins Inc.

System Simulation Engineer Intern

May 2022 to Aug 2022

  • Developed machine learning and numerical simulation models to improve the emission modeling accuracy by 20%.

Purdue University

Graduate Research Assistant

Aug 2019 to July 2023

  • Led a research group in the development of machine learning engine emissions models by TensorFlow in Python:
  • Developed discrete/continuous Recurrent Neural Network (RNN) models to enhance modeling accuracy by 30%.
  • The first researcher to develop Time Series Classification algorithms for advanced detection of emission peaks.

Yifei's Portfolio

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quick links

home about skills education experience

contact info

yfzhou23@gmail.com

Natick, MA 01760