Rajat Hebbar
Research Engineer at Google DeepMind
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolRajat Hebbar is a research engineer with eight years of experience focused on noise-robust audio and speech machine learning for real-world environments, currently working at Google DeepMind after completing a PhD at USC’s Signal Analysis and Interpretation Laboratory. His work bridges rigorous academic research and practical deployment, developing models and signal-processing techniques that improve speech reliability in noisy, real-world conditions. Rajat’s background in electrical and computer engineering (BTech, MS, PhD) underpins a strong foundation in both theory and systems-level implementation. He has a track record of moving research prototypes toward production readiness, and his transition from a long-term graduate research role to DeepMind signals a capability to scale ideas into impactful products. An often-overlooked strength is his interdisciplinary fluency across signal processing and machine learning, enabling solutions that are both mathematically grounded and engineering-ready.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Southern CaliforniaBachelor of Technology - BTech, Electronics and Communication Engineering, Bachelor of Technology - BTech, Electronics and Communication Engineering at National Institute of Technology Karnataka
Github Skills (4)
voice-activity-detection9
kaldi8
audio8
speech8
Programming languages (1)
Github contributions (5)
usc-sail/mica-gender-from-audio
Apr 2018 - May 2021
Contributions:74 commits, 28 pushes, 1 comment in 3 years 1 month
usc-sail/mica-speech-activity-detection
Jul 2017 - Jan 2021
Robust Speech Activity Detection (SAD) in movie audio
Contributions:30 commits, 15 pushes, 2 branches in 3 years 6 months
audiospeechvoice-activity-detectionmovie-audiokaldi
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