Devendra Vyas is a seasoned ML Tech Lead with over four years of experience in machine learning and AI development, currently leading the Distributed AI on Edge (dAIEdge) initiative supported by the European Union. Vyas designs product roadmaps, integrates multimodal data, and enables robotic manipulation using Active Inference techniques. Previous roles include contributions to CNN-based classification networks at Fraunhofer AISEC and system design for autonomous vehicles at KPIT. Vyas has also developed substantial projects in aerial image segmentation and object tracking, holding a Bachelor's degree in Computer Science and a Master's degree in Informatics.
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