Princeton University | August 2020 - May 2024 (Expected)

  • Bachelor's of Science in Engineering, Computer Science
  • GPA: 3.677/4.0
  • Courses: Advanced Programming Techniques; Algorithms and Data Structures; Introduction to Programming Systems; Introduction to Machine Learning; Computer Science: An Interdisciplinary Approach; Reasoning About Computation; Linear Algebra; Multivariable Calculus; Calculus II; Calculus I; Physics I; Living with AI


Programming Languages

Java, Python, C, C++, JavaScript, HTML, CSS, SQL


Flask, PostgreSQL, ElephantSQL, Git, Bash, Linux, Docker, VSCode, IntelliJ, Valgrind, PyQt5, NumPy, Matplotlib, PyTorch


English and Korean (bilingual fluency)


Meta | August - October 2022

Above and Beyond Computer Science Participant

  • Participated in a selective 9-week program on algorithms and data structures led by software engineers at Meta.
  • Attended weekly development workshops to enhance programming fundamentals, engage with industry professionals, and ensure career readiness.

StradVision | June - August 2022

Deep Learning Intern

  • Improved the performance of the Faster R-CNN model by adding a head in Python that predicts the 3D orientation angle of objects from 2D bounding boxes.
  • Examined the accuracy of an existing Faster R-CNN model from open source project MMDetection by training and running inferences on the model using COCO, Pascal VOC, and KITTI datasets.


You can read about my projects here.


Princeton University Computer Science Council | May 2022 - Present

Academic Chair

  • Organized academic events related to Computer Science, such as professor roundtables and meet-and-greet events, in order to provide exposure to the field to Princeton University undergraduates.
  • Cooperated with advisers in the department to arrange locations and resources necessary for events. Facilitated communication between advisers and the rest of the council.