Advancing on-device AI capabilities for Reality Labs, focusing on integrating AI into XR (Extended Reality) systems and devices.
Leading strategic initiatives for Reality Labs optimizing deep learning models for edge AI applications using PyTorch and ExecuTorch, focusing on reducing inference latency, enhancing model accuracy, and minimizing memory footprint. Proven track record of enabling on-device AI features on resource-constrained edge devices while maintaining high performance. HTP Agentic Layer for Optimization for an AI-native platform.
Leading efforts on implementing, validating, and optimizing camera and sensor systems for XR devices, focusing on enabling high frame rate streaming, sensor integration, and system performance for projects leveraging a variety of SoCs. Work included driving privacy features, centralized camera control, and performance investigations to meet aggressive product milestones for tracking, calibration, and user experience in next-generation XR hardware platforms.