JP Park

Atlanta, GA • 123.456.7890 • jae.park@uga.edu

Value-driven software engineer seeking to leverage skills in agile full-stack development. Passionate about collaborative problem-solving, integrity, and continuous learning. Proven ability to deliver results through compassionate, humble, and servant leadership.

Education

University of Georgia, B.S. in Computer Science • May 2025 • GPA: 4.00/4.00
Courses: Data Science I & II, Data Mining, Artificial Intelligence, Software Engineering, Evolutionary Computation, Database Management, Data Structure & Algorithm, Computer Architecture & Network

Skills

Programming Languages: Python, Dart, Java, C++, JavaScript, TypeScript, R, Scala
Database: MongoDB, MySQL, PostgreSQL, Redis
Frameworks: Firebase, React.js, Express.js, Node.js, Spring Boot, Django, Flask, Nginx, Twilio
Tools: AWS, Microsoft Azure, Google Cloud Platform, DigitalOcean, Jenkins, Ansible, GitHub, GitHub Actions, Terraform, Agile, Scrum, Jira, Confluence, Git, GitHub, JFrog, Figma, Docker, Kubernetes

Projects

Bible Reading Tracker

Developed a mobile application using React Native to track Bible reading progress, achieving a 95% user satisfaction rate with features like daily reminders, reading plans, and interactive progress visualization.
Implemented a scalable backend using AWS Lambda, DynamoDB, and S3, supporting over 10,000 active users with an uptime of 99.99%.
Integrated analytics tools such as Firebase and Mixpanel to monitor user engagement, revealing a 30% increase in retention after introducing personalized reading streak rewards.

Walton Habitat App

Developed a Firebase-backed application with Dart and Flutter framework to allow supervisors to create various types of volunteer events for users to register and receive volunteer hours and to keep a record of attendance for each member.
Deployed the application on Android and the web to support more than 200 registered members at a local high school’s Habitat for Humanity student organization.
Utilized Figma for conceptualizing the front-end and scalable NoSQL for the database back-end.

Webtoon Image Classification using CNN/RNN

Constructed a neural network architecture using Keras and Tensorflow to classify images of comic thumbnails.
Programmed a locality-sensitive hashing and nearest neighbors algorithm to search and recommend similar images.
Built a web scrapper using BeautifulSoup and Selenium to scrape dynamically-loaded images from web pages.