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Don D. Le

COMPUTER ENGINEER & SOFTWARE DEV

An engineering student @UCLA with experience in low-latency C/C++, scientific computing, system programming, and computer vision.

Languages: C, C++, Python, CUDA, Rust, LaTeX, JavaScript, Assembly [Intel x86], Java

Tools: CMake, Make, Boost, msys2, GDB, MSVC, vcpkg, SIMD, Conda, Docker, Linux, WSL2, CUDA Toolkit

I place a major emphasis on efficiency, performance, and speed; especially in my work with graphics and image processing, embedded systems, and physics simulation. I also do web dev (sometimes), where I value simplicity and minimalism.

Education

UCLA - University of California, Los Angeles

2025 - 2027 (Expected)

Bachelor of Science in Computer Science and Engineering

GPA: N/A

Relevant Coursework

Activities and Awards

Mt. San Antonio College

2022 - 2025

Computer Engineering, Associate Degree in Mathematics

GPA: 3.95/4.00

Relevant Coursework

Activities and Awards

Experience
Sep. 2024 - Present

Drone Collision Avoidance and Detection Research Assistant

California Polytechnic State University, Pomona, CA

Used Gazebo and ORB SLAM3 to compute drone stereo camera trajectory and 3D reconstruction. Integrated ORB SLAM3 with YOLOv4 in C++, boosting runtime by 50% and achieving 90% object detection accuracy.

C++
Python
VMWare
ORB_SLAM_3
Ubuntu
Gazebo
PX4
CMake
YOLOv4
PyTorch
Jun. 2024 - Sep. 2024

Computer Vision Research Intern

California Polytechnic State University, Pomona, CA

Utilized MPI for multi‑core and OpenMP for multi‑thread processing, along with NVIDIA CUDA, to accelerate feature detection, seam finding, and stitching algorithms to handle real‑time image processing on UAVs. Achieved a 300% increase in the speed of the image stitching process and decreased the parallel-processing cost by 61%. Paper published at AIAA Scitech Forum 2025 (see paper above).

C++
Python
OpenCV
MPI
OpenMP
CUDA
CMake
Feb. 2024 - Present

Math, Physics, and Computer Science Tutor

Mt. San Antonio College, CA: ASAC and MARC

I offer one-on-one tutoring in computer science, engineering physics, and all levels of math. I also led a differential equations class of 35 students, creating study notes to help them grasp key concepts.

Differential Equations
Linear Algebra
C++
Java
Calculus
Classical Mechanics
Projects
Publication
  • Publication

    [1]R. Ramirez, J. Korah, S. Bhandari, D. D. Le, Y. Chen, and T. Nguyen. “Accelerated Image Stitching Via Parallel Computing for UAV Applications”. in Proc. AIAA Conference 2025, AIAA SCITECH 2025 Forum*, 2025, Orlando, Florida, USA, Jan. 2025.

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