Surya Penmetsa is a Deep Learning Scientist at Skylark Labs, where he specializes in developing and optimizing deep learning models for edge deployment, ensuring AI operates efficiently on embedded hardware with constrained computational resources. His research background emphasizes brain-inspired reinforcement learning approaches.
Penmetsa holds an MS from MILA (Yoshua Bengio's Lab) at McGill University, one of the world's leading AI research institutions, and a degree from NIT Warangal. He previously held roles at Qualcomm and Huawei, where he gained industry experience optimizing neural networks for mobile and consumer devices.
His academic work centers on hippocampal mechanisms underlying memory and learning—principles directly applicable to creating lifelong learning AI systems. At Skylark Labs, he focuses on model optimization for on-device deployment, applying neuroscience-inspired learning methods and translating academic AI research into production-ready systems.
