Summary
Toan Hoang is a machine learning engineer with a PhD in Computer Science specializing in image processing and pattern recognition and over a decade of experience applying deep learning to real-world computer vision problems. He has moved research ideas into production—developing AOI inspection algorithms and internal comparison tools at Koh Young, optimizing small-face detection with one-stage CNNs at KIST, and deploying models to embedded TPUs during postdoc work. Comfortable across C++/Linux/Qt and modern deep learning stacks, he blends strong academic rigor (4.17/4.5 PhD) with practical systems engineering. Based in Seoul, he thrives on bridging research and product needs, and is particularly skilled at squeezing performance from models for constrained hardware.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE), Information Technology, 2.47/4.0, Bachelor of Engineering (BE), Information Technology, 2.47/4.0 at Hanoi University of Science and Technology
Doctor of Philosophy (PhD), Computer Science - Image Processing & Pattern Recognition, 4.17/4.5, Doctor of Philosophy (PhD), Computer Science - Image Processing & Pattern Recognition, 4.17/4.5 at Dongguk University
English, Japanese, Vietnamese, Korean