Mayleen Liu

I'm a

About

Hey, I'm Mayleen Liu, a senior at the University of Notre Dame studying in Computer Science with a minor in Engineering Corporate Practice. Outside of school, you'll find me bouldering, reading, hiking, trying new recipes, or playing the violin. 

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timeline

Fall 2017 - Spring 2021: Dunlap High School

I was involved in orchestra, interact club, math team, and more.

Fall 2021 - Spring 2025: University of Notre Dame

My journey at the University of Notre Dame has been nothing short of incredible. When I first started here, I had doubts about whether I would make it this far. The challenges seemed overwhelming, and there were moments when I questioned my abilities. But here I am, almost finished with my time at Notre Dame, and I couldn't be more grateful for the experiences and opportunities I've had.

I'm passionate about music and being part of the Notre Dame Symphony Orchestra. Playing the violin has always been a significant part of my life, and being part of this ensemble has allowed me to express my love for music while connecting with fellow musicians. I especially loved when we went on tour from Chicago to NYC in Dec 2023!

I'm excited to make the most of every remaining opportunity and continue contributing to the vibrant community that makes this college experience so special. Go Irish!

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Summer 2022: Intern @ Center for Civic Innovation

I conducted Food Information Networks (FINs) research and implemented a pilot food hub delivery service. I collaborated in app design, creating a medium fidelity prototype and conducting usability testing for an intuitive user experience. Using Figma, I elevated the UI/UX design and integrated EBT/SNAP and APIs to connect with Walmart, enhancing accessibility and functionality. Through these projects, I gained valuable experience in research, app design, and integration.

Fall 2022 - Spring 2023: Research Assistant

As an undergraduate research assistant, I played a role in developing and training ML models using PyTorch, TensorFlow, and OpenCV, achieving high levels of accuracy (over 85%). Additionally, I collaborated with the team to create and implement a D3.js visualization for automatic archery scoring and analysis, improving accessibility and usability. The visualization has provided valuable insights statistical analysis, and enhanced the overall quality of our research findings. I presented at ISVC in October 2023 at Lake Tahoe. The paper, titled "ArcheryVis: A Tool for Analyzing and Visualizing," can be accessed here.

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Summer 2023: Software Engineer Intern @ Chubb

As a software engineer intern, I contributed to the development of Major Account Transactions (MAX) Sheets using Angular and NodeJS. These sheets were designed to streamline the workflow for underwriters by automating data population from the ACES database and COU Tracking systems, eliminating the need for manual data entry. This significantly improved efficiency and accuracy in the underwriting process. During my internship, I collaborated closely with a cross-functional team, leveraging my skills in SQL and Postman. This collaborative effort ensured reliable data transfer and integration between different components of the system.

Fall 2023 - Spring 2025: Teaching Assistant

Hold office hours and provide code evaluations, focusing on complexity, style, logic, and memory usage.

- Data Structures (Fall 2023)

- Systems Programming (Spring 2024)

- Intro to AI (Fall 2024)

- Systems Programming (Spring 2025)

Summer 2024: Product Manager Intern @ Microsoft

As a product manager intern, I defined the user journey and tech specs to integrate AI (Copilot) with Azure services in Oracle Database@Azure. I collaborated cross-functionally with UX, Security, Oracle, Copilot teams, and other PMs to implement a proof of concept and UX wireframes. Additionally, I developed a customer value proposition for NVIDIA Omniverse on Azure, driving strategic integration and streamlining the onboarding process for system integrators at Accenture

Fall 2025: PM @ Microsoft

Projects

Cardtorium

Cardtorium

Godot Open Source Project

Cardtorium is a civilization-style 2D card game. Players can build cities, gather resources, and engage in combat with an opponent.

WorNDly

WorNDly

Worndly is a clone of the New York Time's Wordle. However, WorNDly adds multi-language support, transactions, and the ability to play multiple games in a day.

Database project

Bytes

Recipe recommendation system that uses computer vision to detect food and finds recipes that matches user's ingredients.

Uses MySQL, Django, React, TensorFlow

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Chubb

Created Major Account Transactions (MAX) Sheets with Angular and NodeJS, automatically populating information from ACES database & COU Tracking to streamline workflow and eliminate manual data entry for underwriters.

Collaborated with a cross-functional team, utilizing SQL and Postman to map requests from the data lake to UI.

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Archery Visualization

Worked in computer visualization research lab to collaborate to develop/train machine models with PyTorch, TensorFlow, OpenCV.

Developed D3.js visualization with statistical analysis.

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Food Information Networks

Undertook Food Information Networks (FINs) research by designing and implementing a pilot food hub delivery service.

Led app design process with a medium fidelity prototype and usability testing to ensure intuitive user experience.

Contact

Location:

Illinois, USA

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