Yuni Park

U-M Accessibility Lab

Ann Arbor, MI

• Conduct user research for the “MaskSound” project, exploring sound masking solutions for noise sensitivity in autism
• Developed an iOS application using SwiftUI, incorporating research findings to inform app features and UI/UX design
• Developed a frequency-analysis algorithm to recommend frequencies for real-time masking of disruptive sounds
• Planned usability testing, aiming to submit findings to ACM Conference on Designing Interactive Systems (DIS) 2024

SolarWindow Technologies Inc.

Seoul, South Korea

• Maintained and developed dynamic web app using HTML/CSS, JavaScript, and Python for a solar energy startup
• Provided technical guidance to nontechnical leadership, including advising and implementing UI/UX design specs
• Redesigned logo for the Asian Subsidiary and created PowerPoint presentations for investor and stakeholder meetings

Drift Net Securities

Chicago, IL

• Led a technical team of three to develop an automated pipeline for converting 2D floor plans into 3D models, ultimately increasing efficiency of model construction by 92%
• Built a predictive model using PyTorch and OpenCV to identify key features in large floorplans, a C++ application that enabled Geospatial Model Specialists to quickly fine-tune features, and Blender scripts to automate 3D construction

Ross FinTech Challenge 2023

Ann Arbor, MI

• Co-founded “ZILLA”, a fintech startup that automates rewards optimization with an innovative credit card concept
• Designed a mobile app for enhanced financial literacy and accessibility by simplifying the credit card experience
• Collaborated with four MBA and CS students to secure 2nd place among 150+ participants and a cash prize of $4,000

Ross Datathon Competition 2023

Ann Arbor, MI

• Led a four-person team in a datathon competition, securing 4th place among 200+ participants and 1st place for audience choice
• Utilized Python to analyze and visualize a large and messy data set, uncovering critical insights into the airline industry
• Conducted stakeholder surveys to gather primary data, incorporating industry perspectives into the team’s solution

Colorizing Grayscale Images

Ann Arbor, MI

• Trained a deep learning model on the COCO dataset to predict color values given grayscale images as input
• Constructed an 8-layer, feed-forward CNN using an L2 regression loss function and the PyTorch framework
• Achieved a peak-signal-to-noise ratio (PSNR) evaluation accuracy of around 56 for training and validation datasets

Instagram Web Application

Ann Arbor, MI

• Built a website using server-side dynamic pages that allows users to interact through posts, likes, and comments
• Created shell scripts to manage SQL database and sha512 hash functions to securely store passwords
• Upgraded to client-side dynamic pages using JavaScript that runs in browser and makes AJAX calls to the REST API

University of Michigan - Engineering

Ann Arbor, MI

Computer Science Major

University of Michigan - LSA

Ann Arbor, MI

BHS Major

Lick-Wilmerding High School

San Francisco, CA

High school