Responsibilities include:
GPA: 3.9/4.3
Courses highlighted:
Primary development language for published research, implementing machine learning algorithms using the PyTorch framework. Developed GPU-accelerated algorithms with Python bindings and CUDA kernel programming. Evaluated and visualized experimental results using Python packages (e.g., OpenCV, Matplotlib), and collaborated with teammates on the W&B platform for project tracking and experimentation.
Implemented scale-space algorithms and data structures for analyzing triangulated irregular networks, following object-oriented programming principles. Optimized algorithm inference speed using parallel computation with the OpenMP library, improving efficiency by parallelizing tasks on leaf nodes in tree structures.
Development primarily in Unix (CentOS) environments, managing computational tasks with SLURM. Practical experience in database management (MySQL, MongoDB) and professional engineering software (QGIS, MATLAB, MeshLab). Experienced in full-stack web development, including backend (NodeJS, PHP) and frontend (ReactJS).
Her name is Bella