Summary
Duck-ha Hwang is a computer vision and machine learning engineer with nine years of experience building and evaluating algorithms for real-world products, currently shaping vision perception for Apple Vision Pro. He combines rigorous academic research at UCLA with hands-on R&D and production deployments—designing high-accuracy detection and segmentation pipelines, real-time edge/cloud APIs, and active learning workflows for industrial and airport deployments. Duck-ha has a track record of squeezing practical gains from classical image processing and modern deep learning (e.g., Mask R-CNN, Faster-RCNN, optical flow, hologram reconstruction), and has delivered solutions that cut bandwidth and boosted accuracy above 95% in fielded systems. Comfortable across Python, C++, MATLAB and AWS, he also brings experience in annotation tooling, OCR/ LPR systems, and experiment-driven A/B testing. Colleagues describe him as a pragmatic problem solver who blends creative engineering with careful evaluation—equally at home prototyping novel research and hardening models for production.
8 years of coding experience
2 years of employment as a software developer
DAT101X: MICROSOFT PROFESSIONAL ORIENTATION, DATA SCIENCE, DAT101X: MICROSOFT PROFESSIONAL ORIENTATION, DATA SCIENCE at edX
MACHINE LEARNING ENIGNEER NANODEGREE, MACHINE LEARNING, MACHINE LEARNING ENIGNEER NANODEGREE, MACHINE LEARNING at Udacity
B.S. in Electronic Engineering, SIGNAL & SYSTEM, Cum GPA: 4.10 / 4.5 (Major GPA: 4.42 / 4.5), B.S. in Electronic Engineering, SIGNAL & SYSTEM, Cum GPA: 4.10 / 4.5 (Major GPA: 4.42 / 4.5) at Kyonggi University
M.S. in Electronic Engineering, COMPUTER VISION AND MACHINE LEARNING, 3.3, M.S. in Electronic Engineering, COMPUTER VISION AND MACHINE LEARNING, 3.3 at University of California, Los Angeles
English, Korean