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The Engineering Team at NimbleEdge is responsible for developing and optimizing the platform that enables seamless migration of machine learning workloads to the mobile edge. This team comprises ML engineers and systems engineers who focus on the underlying architecture, ensuring robust performance and interoperability across diverse computing environments. Additionally, Android engineers contribute to creating user-friendly applications that leverage the platform's capabilities, while machine learning researchers explore innovative algorithms to enhance real-time hyper-personalization and federated learning at scale. Together, they empower developers to harness edge computing effectively while maintaining user privacy and reducing cloud costs.