Vinesh Sukumar

The most consequential AI challenge of our time isn't building smarter models - it's making them run in the real world, on real devices, at real scale. That is exactly what I do. As Vice President of AI at Qualcomm Technologies, I have the privilege of leading the strategy and commercialization of Generative AI, Agentic AI, Voice AI, and Sensing AI: Spanning the full stack from silicon architecture to enterprise deployment. My work sits at the hardest part of the AI problem: Making frontier models run efficiently on constrained edge hardware at scale. That means deep engagement across the full stack from neural network quantization, hardware-aware model optimization, MLOps/LLOps pipelines, and cross-platform AI software ecosystems spanning mobile, automotive, XR, PC, IoT and upcoming form factors. Had the opportunity to lead teams responsible for bringing the world's first on device large language models to Snapdragon platforms, enabling real time multimodal AI experiences, and building the Qualcomm AI Stack -> A unified software portfolio now used by developers and ML engineers across the industry. I hold a PhD in Electrical Engineering (Vision System Modeling) and an MBA in Strategy, Marketing & Operations. I've authored multiple peer-reviewed journal papers and two technical books, and I'm a regular speaker at AI industry forums and major industry conferences. Beyond my day job, I serve as a board member and an Industry Advisor so as to bridge the gap between academic AI research and real-world commercial deployment. If you're building in the AI space - whether as an engineer, a founder, or a researcher -> I'm always open to conversations about Edge AI, Generative AI, and the future of intelligent computing. 📩 Let's connect.