Summary
Eugene Liu is an AI research engineer and computer vision specialist with 10 years’ experience building production-ready deep learning pipelines and deployment tooling at Intel, where he maintains OpenVINO Training Extensions and integrates advanced object detection, instance segmentation and counting algorithms into Intel Geti. He balances algorithmic accuracy with hardware constraints to deliver models optimized for diverse Intel platforms, including innovations like small-object detection with tiling. His background spans applied R&D across startups and industry—developing face analytics, scene-text OCR, GANs for image synthesis, near-duplicate video retrieval and 360° video detectors—showing a strong track record of moving research into products. An active open-source contributor to mmcv, mmdetection and mmdeploy, he brings both systems-level deployment experience and hands-on model development. Trained in industrial engineering, he combines rigorous experimental methodology with practical engineering for scalable vision systems.
10 years of coding experience
5 years of employment as a software developer
Master of Engineering (M.Eng.), Industrial Engineering and Industrial Management, Master of Engineering (M.Eng.), Industrial Engineering and Industrial Management at 國立清華大學
BS, Industrial Engineering, BS, Industrial Engineering at Chung Yuan Christian University
TYHS
Chinese, English