Summary
Saurabh Kataria is a machine learning researcher and postdoctoral fellow at Emory University with a decade of experience focused on speech and speaker recognition, speech enhancement, and domain adaptation. He completed a PhD in Electrical and Computer Engineering at Johns Hopkins, where he was embedded in the CLSP/HLTCOE and contributed to adversarial robustness, language detection, multi-channel signal processing, and source localization. His background includes research internships at Tencent America, Inria, and NYU, reflecting a strong blend of academic rigor and industry-relevant problem solving. Saurabh publishes actively (Google Scholar profile) and maintains a public-facing homepage and social presence that highlight reproducible research. Based in Atlanta, he combines deep signal-processing expertise with modern ML practices to tackle noisy, real-world audio problems. An underappreciated strength is his cross-disciplinary training from IIT Kanpur through Johns Hopkins, which fuels both theoretical insight and practical system-building.
9 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Indian Institute of Technology Kanpur