Don D. Le

SOFTWARE AND WEB DEV

A computer engineering student with experience in embedded systems, scientific programming, computer vision, and web-dev.

Languages: C, C++, Python, CUDA, Rust, L^aT_eX, JavaScript, Assembly [Intel x86], Java

Tools: CMake, Makefiles, Boost, msys2, GDB, MSVC, vcpkg, VMWare, Conda, Docker, Linux, WSL2, CUDA Toolkit

My work mainly involves graphics programming, image processing, drone collision detection, and physics simulation. I also do web development (sometimes), mainly using vanilla JS with CSS3 or Next.js with Tailwind CSS.

Experience

Sep. 2024 - Present

Drone Collision Avoidance and Detection Research Assistant

California Polytechnic State University, Pomona, CA

Utilized Gazebo, Ubuntu, and ORB SLAM3 to compute drone's stereo camera trajectory and a sparse 3D reconstruction. Optimized object detection by integrating ORB SLAM3 with YOLOv4 in C++, improving runtime performance by 50% over the original Python version and achieving a detection confidence rate of 90%.

C++

Python

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, image processing, and stitching algorithms to handle real‑time image processing on drones. 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.

C++

Python

OpenCV

MPI

OpenMP

CUDA

CMake

Feb. 2024 - Present

Math, Physics, and Computer Science Tutor

ASAC and MARC, Mt. San Antonio College, CA

I tutor various subjects, ranging from math and engineering physics to computer science. I work at two positions: embedded tutor, where I conducted after-class tutoring sessions and assisted professors in organizing classwork, and drop-in tutor, where I provided one-on-one tutoring sessions. I also created and distributed comprehensive study notes to support students in understanding math concepts.

Differential Equations

Linear Algebra

C++

Java

Calculus

Classical Mechanics

View PDF Résumé

Projects

Feb. 2025 - Present

SLAM Point Cloud Generation and YOLO Command Line Wrapper

Object Detection and Visual SLAM

Point cloud generation and plotting for ORB-SLAM3. This project is a combination of two repositories, including a command-line wrapper and a point cloud generator. It utilizes two versions of YOLO: version 4 for C++ and version 11 for Python.

OpenGL 3D Object Renderer

Low-level Graphics Programming

3D Object Renderer for common geometric shapes—including triangle, cube, sphere, and torus (donut) using OpenGL, a cross-platform, low-level API for rendering 2D and 3D vector graphics. Built with CMake, GLFW, GLAD, GLEW, GLM, and FreeGLUT.

2D Physics Engine

Graphics Programming, Numerical Methods

A collection of repositories to implement physics from scratch in C++, utilizing SFML for real‑time rendering and visualization. Implemented multiple numerical integration methods, including Euler (explicit/implicit), Verlet, and Runge‑Kutta (RK4), to accurately simulate motion; integrated rigid‑body collision detection for realistic interactions. Added a spatial grid for better optimization.

Webs-for-Clubs

Web Development, College Project

Collaborated with a team of fellow developers to create static and dynamic, functional, and easy‑to‑maintain websites for various clubs at local college. Utilized Node.js, Next.js, and Tailwind CSS to build fully functional and informative websites, aiming at providing information and updating announcements.

neumanncondition.com

Web Development, Blogging

This is my blog website. I coded it from scratch using HTML, CSS, and Javascript. This is a website to display my writings about engineering, physics, mathematics, and computer science.

Feb. 2024 - May. 2024

Chladni Patterns Generator

Scientific Programming

Developed a Python script to generate an unlimited number of Chladni patterns on square and circular domains. The patterns are obtained by solving for eigenvalues of the two-dimensional wave equation through separation of variables and elimination of the Bessel functions of the 2nd kind.

How to find Maxima and Minima of an n-th Dimensional Function

May. 2024

Vector Calculus, Mathematics

Utilizing the Hessian Matrix to find the maximum, minimum, and saddle points of an n-dimensional real function. Practice with example problems and exploring alternative methods.

The Quest to Finding Chladni Patterns. 3 Parts Series

June. 2024

Waves, PDEs, Scientific Programming

Solve the two-dimensional square and polar wave equation using separation of variables and solving eigenvalue problems. Design algorithms to plot Chladni's pattern using the model.