Tran Tran is an AI researcher and engineer with a PhD in Computer Vision and Machine Learning and eight years of hands-on experience building and applying ML systems across industry and academia. Based in Seoul, he has combined roles as an AI research scientist, consultant, and educator—working at companies like MindinTech (Telechips), PARASHINE, and Myongji University—while also writing technical pieces for Towards Data Science. His background spans end-to-end AI work from embedded and industrial applications to research-grade computer vision, informed by prior AI engineering and software internships. Tran blends rigorous academic training with practical product-facing experience, often translating research insights into deployable solutions. He is comfortable communicating complex ideas to broad audiences, evidenced by his ongoing writing and teaching roles. Notably, his trajectory shows a rare mix of doctoral-level research focus and real-world deployment experience in the South Korean tech ecosystem.
8 years of coding experience
6 years of employment as a software developer
Bechelor of Engineering, Electrical and Electronics Engineering, Bechelor of Engineering, Electrical and Electronics Engineering at HCMC University of Technology and Education
Doctor of Philosophy - PhD, Computer Vision and Machine Learning, Doctor of Philosophy - PhD, Computer Vision and Machine Learning at Myongji University
This project is to stream an object detection module (Yolo v3) with 2 cameras (2 channels) on a web browser using Django.
Contributions:37 commits, 2 PRs, 35 pushes in 2 years 7 months
pythonbrowserdjangoobject-detectionstreaming
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