Krishna Somandepalli is a Senior Research Engineer at Google DeepMind with 12 years of experience building multimodal AI systems that bridge robust signal processing and multimedia content analysis. He holds a PhD from USC’s Viterbi School where he led the Media Informatics and Content Analysis group, developing multiview representation learning for applications such as character analysis and socio-economic studies of media. Prior roles at Google Research and multiple Google internships focused on self-supervised audio-visual emotion representation, federated affective computing, and animated media character tracking, demonstrating a strong track record of moving research into practical, scalable systems. His background in fMRI denoising and physiological artifact analysis at NYU Langone adds a rare cross-disciplinary expertise in neuroscience-grade signal quality to his machine learning work. Based in New York, he combines deep academic rigor with production-facing research at industry-leading labs, frequently exploring privacy-preserving and unlabeled-data learning paradigms.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of Southern California
BE Enginnering, BE Enginnering at University Visvesvaraya College of Engineering
Pre University Physics Chemistry Maths Biology, Pre University Physics Chemistry Maths Biology at MES College of Arts, Commerce & Science
MS Electrical and Computer Engineering, MS Electrical and Computer Engineering at UC Santa Barbara
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Krishna Somandepalli - Senior Research Engineer at Google DeepMind