Shoubhik is a Research Engineer at Metas Superintelligence Labs, specializing in multimodal learning, visual grounding, and representation learning. His prior experience at NVIDIA involved pioneering research in robotics and autonomous vehicle simulation, focusing on sim2real transfer. He holds a Masters from the University of Southern California.
He is a strong believer in the potential for deep learning to solve challenging day-to-day problems. His academic and professional work consistently demonstrates a passion for applying complex AI concepts to tangible, real-world applications in robotics and computer vision.
He received the Viterbi Masters Computer Science Merit Award at USC, an honor given to less than 1% of the CS department for academic excellence.
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