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.
9 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