Resume

A determined and motivated Computer Science, Mathematics, and Physics student at the University of Toronto. Equipped with a strong foundation in numerical simulations, data analysis, and software development. Proficient in Python, TypeScript and C++, and passionate in solving real-world issues in a team environment.

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Work Experience

Technical Lead

Hack04 • March 2023 - Present

Leading a team to develop web applications.

Led a team to design a frontend application using Next.js for a future-themed hackathon, attracting over 300+ applicants in one month.
Architected a back-end database using PostgreSQL, and user authentication with OAuth to create a secure and responsive web application.

Machine Learning Researcher

University Of Toronto Machine Learning Team • Nov 2024 - April 2025

Researching ML techniques for image processing.

Trained custom models using MF images using ImageNet, and COCO to improve AI-driven classification accuracy by 30 percent.
Developed perceptual loss and adversarial loss to improve colorization quality on over 300,000 objects.

Lead Fullstack Developer

Power Unit Youth Organization • Feb 2022 - Present

Developing web applications for charity events.

Developed a frontend application using React.js for a food festival, attracting 100,000+ attendees and raising $143,000+ for charity.
Architected a backend database with MongoDB, enabling 700+ vendors to register for the event, achieving $200,000+ in profits.

Education

BSc. Computer Science, Physics, Mathematics

University of Toronto

GPA: 4.0/4.0

Skills

TypeScriptPythonJavaScriptC/C++SQLHTML/CSSExcel

Languages

English

Native Proficiency

Korean

Working Proficiency

Projects

N-Body Simulation

C++, OpenGL

Designed and implemented the Barnes-Hut recursive algorithm in C++ with OpenGL to render over 10,000 bodies of varying mass in a vacuum.
Integrated multithreading to parallelize force calculation, significantly improving runtime scaling with multi-core CPUs.

Ant-Pathing Simulation

C++, TensorFlow

Implemented parallelization in C++ with TensorFlow to simulate the growth and learning process of ant colonies.
Utilized Amdahl's law to reach processing speed up to 96% of the theoretical maximum speed of the 8-core cpu.

Used Uniform Marketplace

TypeScript, React.js

Developed a web application using TypeScript and React.js to allow 300+ high school students to sell and reuse old uniforms.

Awards

UofTCTF 2025 Top 3 Finalist Award

University of Toronto • Jan 2025

Collaborated with a team of 5 to achieve third place out of 300+ competitors in the University of Toronto's yearly cybersecurity competition.

2024 VEX V5 Robotics National Champion

Team Robotics • May 2024

Contributed to team 8285J's victory at the 2024 VEX Robotics National Championship, qualifying for the 2024 World Championships.

Interests

CybersecurityBadmintonMusicBloggingTravel