learning site reliability + production engineering through the mlh fellowship under meta's production engineers, focused on reliable, scalable infrastructure.

conducting research on computer vision–based road debris detection using deep learning models to improve roadway safety. developing and evaluating image-based object detection systems to identify hazardous debris in diverse driving environments.

connecting students with industry leaders through career fairs, internship bootcamps, and employer partnerships. i organize initiatives that strengthen employer relations, support student career development, and build pipelines for future stem talent.

teaching students ages 6–14 the fundamentals of programming through hands-on projects in javascript, block coding, and game development. i lead interactive camps on minecraft and roblox modding, robotics, and creative engineering, helping students build problem-solving and critical thinking skills in a fun and supportive environment.

built a vietnamese–english medical translation model using opennmt-py and mbart50. optimized performance with advanced preprocessing and collaborated with researchers to enhance translation quality for low-resource clinical data.

invited to present poster at great minds in stem conference 2025