Researching computer vision, spatial audio, and vision-language models.

• Geometry-grounded novel-view acoustic synthesis: feed-forward pipeline eliminating Structure-from-Motion dependency. Accepted at CVPR Workshop 2026.
• Industrial AI safety: camera-based hazard monitoring with blind spot handling. Published at AISTech 2026 and TMS/AIM 2025.
• VLM explainability: Grad-CAM token attribution and perturbation testing to verify causal influence of image regions on model outputs.

Advised by Prof. Yang Ni and Prof. Chen Zhou.

Maintained 99% uptime SLA across 11 global production deployments (USA, UK, Canada, Australia, Hong Kong). 25+ services on Azure with strict regional isolation requirements.

• Built Python monitor for JMS consumer queues catching silent failures before user impact. Adopted as standard team tooling.
• Built zero-downtime restart automation: verified healthy instance availability before touching degraded one. Safety check first, action second.
• Full Terraform infrastructure across 11 regions. Jenkins and Ansible CI/CD pipelines. Prometheus, Grafana, ELK, Azure Monitor observability stack.