Summary
Jaemoon Ye is a Senior Software Developer based in Seoul with 7 years of experience building edge AI and robotics inference systems. He designs and ships production-ready MLOps and inference architectures, standardizing runtimes across Intel and NVIDIA hardware using Triton, OpenVINO, Kubernetes and Kubeflow. Previously he optimized YOLO-based detectors for low-power Ambarella SoCs, cutting latency nearly in half and shrinking model footprints through pruning and quantization for mass-market CCTV. His work spans vision AI (object detection, pose estimation, VSLAM), multi-object tracking and embedded sensor fusion for wearables, combining firmware-level optimizations with cloud-native deployment. Known for pragmatic interface design, he decouples model inference from service logic with KServe to accelerate integration across robotics products. He brings an uncommon blend of hands-on embedded systems experience and production-scale ML engineering that bridges sensing hardware to intelligent behavior.
7 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng Electrical and Electronics Engineering, Master of Engineering - MEng Electrical and Electronics Engineering at 한림대학교(Hallym University)
Korean, English, Japanese