Education
Stanford University
Bachelor of Science, Computer Science; Major GPA: 4.0; Expected June 2027
Relevant Coursework:
Machine Learning, Deep Learning for Computer Vision, Operating Systems, Computer Organization & Systems, Programming Abstractions, Information Science & Engineering, Infrastructure at Scale, Intro to Computer Graphics, Intro to VR Development, Probability, Computability Theory, Linear Algebra, Multivariable Calculus, Differential Equations.
Experience
Rézme
December 2024 - PresentFront-End Web Development Contractor
- Iterated on a scalable web app with Next.js & Vercel, problem-solved to improve sign-up success rate by over 200%.
- Developed and documented in an agile startup environment. Prioritized tasks and effectively delivered features.
Lawrence Berkeley National Lab
June 2024 - September 2024Research Assistant, Earth and Energy Sciences Division
- Designed & developed a global NetCDF data visualization webapp entirely from scratch, adopted as a lab-wide template.
- Implemented and hosted a LSTM enabled Methane Emissions visualizer, creating an interactive, rotatable, and 3D globe.
Skills
Coding Languages
JavaPythonJavaScriptC++CHTML & CSSAssemblyCircuitPythonLaTeX
Libraries
ReactPyTorchTensorFlowLiteRTNumPyMatplotlibpandasjQuerynetCDF4cartopygeojsonxarray
Tools
GitNext.jsVercelJupyter/CondaAdobe SuiteBlenderFTPsGCP/FirebaseFigma (working)Unity (working)
Languages
English (Native)Mandarin (Advanced)Korean (Intermediate)Spanish (Beginner)
Research
Computer Science and Informatics Summer Research Experience
June 2022 - September 2022Stony Brook University, New York
- Developed a computer vision-based deep learning tool to assist residents in classifying solid wastes for proper disposal.
- Trained artificial intelligence models for image classification, object detection (mAP_0.5=0.872), and instance segmentation.
- Integrated PyTorch and Tensorflow Lite models into an Android mobile app published on the Google Play store.
AI & Drone Orthomosaic Guided River Cleanup
September 2021 - June 2022Commercial Drone Pilot and AI Engineer
- Applied advanced augmentation to the TACO dataset, increasing size 6x; conducted iterative transfer learning on YOLOv5, optimizing computer vision classification, detection, and segmentation models to classify waste from aerial orthomosaics.
- Enabled and automated statistical analysis of trash distribution and density, reducing cleanup time and increasing efficacy.
Honors & Achievements
- United States Congressional Award - Gold Medal Recipient
- Duke Of Edinburgh International Award - Gold Award Recipient
- Taekwondo ('11-'24) - Third Dan Black Belt
- Figure Skating ('23-24) - Freestyle 1
- Concert Band, Wind Ensemble, Chamber Ensemble, Marching Band, Jazz Band, Winter Percussion, Color Guard Captain