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Edge AI
Efficient inference and practical machine learning beyond the cloud.
03 / Research direction
Exploring how intelligent applications can become more responsive, private, and available when computation happens closer to the people and devices using it.
Intelligence in motion
My graduate work looks at efficient model design, real-time inference, computer vision, and hardware-aware systems for practical deployments.
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Visual classifiers that turn data into decisions for real environments.
Hardware-aware design with microcontrollers, sensors, and automation.