Summary
Jaeyoung Yoon is a 3D vision engineer based in Seoul with eight years of experience building practical computer vision and 3D reconstruction systems for AR, SLAM and mapping applications. He has driven end-to-end projects from SfM-based aerial 3D reconstruction and mesh texturing to VPS algorithms and multi-map SLAM systems, plus API and service work, blending research with production delivery. Comfortable across deep learning, feature extraction and data analysis, he has applied models from MobileNet and Mask R-CNN to bespoke neural rendering and latent-code TTS style transfer for avatar and face reconstruction. Colleagues rely on him to bridge academic rigor (Master’s in Electronic Engineering) with hands-on engineering, and he’s known for turning complex spatial data into usable 3D content and services. An avid learner, he often experiments at the intersection of photogrammetry, neural rendering and real-time AR pipelines.
8 years of coding experience
3 years of employment as a software developer
Master's Degree, Electronic Engineering, Master's Degree, Electronic Engineering at 경희대학교