Vision-Language Models (VLMs) for real-time video analytics, multi-camera inference pipelines, prompt engineering and frame-batching optimization for production deployment, edge/GPU
benchmarking (vLLM, Qwen-VL family), and applied computer vision for retail/QSR usecases like queue detection, dine-in occupancy, drive-thru wait time, and anomaly detection.