About Me
From writing my first "Hello World!" in an Intro CS course at UVA to conducting advanced research, I am committed to making meaningful contributions to the field of Computer Science.
More information about me:
🎓 Education
| | University of Virginia - School of Engineering, 2026 |
| B.S. in Computer Science and Minor in Applied Mathematics - GPA: 3.988 |
| | High School for the Gifted VNU-HCM, 2022 |
| High School Diploma - KC3 1922 |
💼 Experience
🏆 Honors and Awards

The Raven Society @ UVA
The Raven Society is UVA's oldest and most prestigious honorary society, recognizing exceptional students for academic excellence, leadership, and service to the University and Charlottesville community. Membership is highly selective and considered one of the highest honors a student can receive at UVA.

Dean's Engineering Research Fellowship Summer 2024
Awarded $4,800 for a 10-week full-time research project with additional engagement in professional development workshops and presentation of findings at Fall Undergraduate Research Expo.

Dean's List - All Semesters
Achieved Dean's List recognition for maintaining a GPA of 3.40 or higher and completing over 15 credits of graded coursework in the preceding semester.
📝 Publications
Published in Journal of Applied Physics, October 2024
💻 Featured Projects
![]() May 2025 - Present 🚀 Rodinia Benchmark v4.0Innovating the Rodinia Benchmark Suite by updating, scaling, or retiring workloads and optimizing CUDA implementations to reflect current GPU architectures. | ![]() Feb 2025 - May 2025 💻 GPU L2 Cache OptimizerSimulation and optimization of extended L2 cache architectures in GPUs using GPGPU-Sim to improve CUDA workload performance and analyze area tradeoff. |
![]() May 2024 - August 2024 🔬 PyTorch CUDA MLComparative study of PyTorch and LLM-generated CUDA models for machine learning, focusing on manual optimization capabilities, performance gains, and framework selection. | ![]() April 2023 - January 2025 🧬 GPU Molecular DynamicsThis project focuses on investigating the thermal properties of high-entropy alloys (HEAs) using molecular dynamics (MD) simulations through GPUMD package. |

