Lead the Camera and Edge AI System Development:
- Lead the end-to-end research, design, and implementation of camera-based AI detection models for scenarios including member/non-member identification, intrusion detection, abnormal event recognition, and more.
- Evaluate, implement, optimize, and deploy AI models on cloud, edge devices, and small AI microcontrollers such as ESP32, ensuring performance, power efficiency, and scalability for real-world store environments.
Lead the Admin Portal for Video Management:
- Develop secure, scalable admin portals to access and manage historical camera video footage, including the implementation of robust retention policies.
- Optimize video resolution, storage costs, and cloud storage architectures for efficiency and compliance.
Hardware Integration & Configuration:
- Design, document, and ensure best practices for seamless hardware-software integration.
- Build and enhance configuration workflows to streamline rapid, reliable deployment of cameras across multiple store locations.
IoT & Cloud Service Development:
- Contribute to the design and deployment of IoT cloud services, integrating smart
- devices and scalable backend architectures