Guangxiao H is a research scientist with 8 years of experience applying deep learning to video understanding, object detection, and multi-agent systems. Based in Vienna, VA, he develops vision foundation models and end-to-end pipelines that combine RLHF-tuned agents, automatic data/ground-truth generation, and high-precision auto-labeling for production analytics at Alarm.com. Previously at ObjectVideo Labs he optimized neural architectures for view-change detection and re-identification under challenging appearance and illumination shifts, and as an IBM postdoc he designed multi-stream activity-recognition networks. His work sits at the intersection of applied research and production engineering, routinely translating experimental models into scalable pipelines with business-oriented metrics. Notably, he blends reinforcement learning for agent behavior with practical computer-vision solutions to reduce manual labeling and accelerate model deployment.
8 years of coding experience
3 years of employment as a software developer
The University of Maryland, College Park
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at Peking University
Build and run Docker containers leveraging NVIDIA GPUs
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