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George Yu
yjoechuen@gmail.com | 412-926-7802 | LinkedIn
**SKILLS**
Software:
(Proficient): Python, TypeScript, SwiftUI
(Familiar): JavaScript, Java, C/C++, HTML/CSS, R
Tools: Git, Jira, Linux, PyTorch, OpenCV, Visual Studio, React, Vim
**EMPLOYMENT**
**Epic Systems** | Madison, WI
*Software Developer* | Jun 2023 - Present
- Implemented time-based one-time password (TOTP) using TypeScript, React, and HTML/CSS to enhance multi-factor authentication security
- Created novel data structure for cache expiration times to resolve multi-factor authentication verification issues
- Developed Python script to scan XML sitemap files for detecting third-party software embedded in MyChart applications
- Built widget framework to prevent inappropriate embedding of proprietary software by third-party users
- Improved JavaScript compiler for SVG files and applied minimalist UI design to update icons, buttons, colors, and text across MyChart patient portal
- Conducted user research with healthcare providers at Baptist Memorial Hospital to inform software development
- Facilitated weekly team meetings and presented efficiency improvement strategies
**Human and Robot Partners Lab** | Pittsburgh, PA
*Robotics Research Assistant* | Jan 2021 - May 2022
- Developed stimuli generation system using C++ and Unreal Engine in VR simulator to map drivers' functional field of view (FFOV) for intelligent driving assistance
- Contributed to research manuscript presented at 2023 IEEE Intelligent Vehicles Symposium
- Awarded $3,500 scholarship for Carnegie Mellon's Summer Undergraduate Research Fellowship
**EDUCATION**
**Carnegie Mellon University** | Pittsburgh, PA
*Master of Science (MS) in Electrical and Computer Engineering* | Aug 2022 - May 2023 | GPA: 3.44/4.0
*Bachelor of Science (BS) with University Honors* | Aug 2018 - May 2022 | GPA: 3.54/4.0
Additional Majors: Statistics, Machine Learning and Robotics
**PERSONAL PROJECTS**
**iOS Video Journal App** | Nov 2023 - Present
- Developed SwiftUI application for efficient photo capture and Google Drive storage
**YOLOv7 Face Detection Model** | Jun 2022 - Aug 2022
- Trained YOLOv7 model achieving 88% detection accuracy on 106 test images
**Stair Vacuum Robot** | Jan 2022 - May 2022
- Built autonomous robot using C/C++ to climb stairs and vacuum debris with Arduino Mega
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