DeepakĀ Kadetotad
Senior Machine Learning Engineer at Starkey Hearing
Vancouver, Washington, United States
Summary
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Top SchoolDeepak Kadetotad is a Senior Machine Learning Engineer with a decade of industry and research experience, currently applying ML to hearing technologies at Starkey Hearing. A Ph.D. candidate focused on neuromorphic computing and hardware-efficient neural network implementations, he bridges circuit-level design and applied machine learning to optimize on-device inference. His background includes research internships at Intel Labs and IBM and long-form graduate research at Arizona State University, giving him deep expertise in neuromorphic architectures and energy-aware NN mapping. Based in Vancouver, Washington, he is actively seeking full-time roles in hardware design and circuits for neuromorphic and ML systems, bringing both practical product impact and rigorous academic training.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Ira A. Fulton Schools of Engineering at Arizona State UniversityBachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at M.S. Ramaiah Institute Of Technology
Github Skills (45)
python10
machine-learning10
gru9
lstm-neural-networks9
rnn-model9
recurrent-neural-networks9
tensorflow9
neural-network9
deep-learning9
deep-neural-networks8
extraction8
decoding8
ml8
data-science8
feature-extraction7
Programming languages (2)
Github contributions (5)
razor1179/pytorch-kaldi-CGS
Mar 2019 - May 2019
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Contributions:35 commits, 43 pushes in 2 months
extractiondevelopingasrctcspeech-recognition
baidu-research/warp-ctc
Jul 2016 - Mar 2017
Contributions:3 comments, 4 issues in 8 months
ctfctcparallel
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