Ravi Gadde
Software Developer at Cummins Inc.
Memphis, Tennessee, United States
Summary
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RockstarRavi Gadde is a seasoned software developer based in Memphis, Tennessee with a decade of hands-on experience building production software. Currently at Cummins Inc., he brings practical engineering discipline to complex projects and a track record of shipping reliable systems. An active contributor to machine learning tooling, he implemented a Wave2Letter encoder in NVIDIA's widely used OpenSeq2Seq toolkit, designing convolutional architectures and integrating data preprocessing and normalization techniques for speech recognition. That work highlights his ability to bridge deep learning model design with engineering-quality code and data pipelines. Known for pragmatic problem solving, he blends domain knowledge in ML with solid software development practices to move research-grade models toward production.
10 years of coding experience
Github Skills (7)
neural-network10
speech-recognition10
convolutional-neural-networks10
tensorflow10
python10
batch-normalization9
machine-learning8
Programming languages (3)
Github contributions (5)
NVIDIA/OpenSeq2Seq
Jun 2018 - Sep 2018
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Role in this project:
ML Engineer
ML EngineerContributions:172 commits, 3 PRs, 1 push in 3 months
Contributions summary:Ravi implemented a Wave2Letter encoder within the open-seq2seq framework, focusing on speech recognition tasks. Their work involved defining the architecture of the convolutional layers, including layer types, kernel sizes, strides, and activation functions. The commits demonstrate the creation and modification of the model configuration files, including the integration of different normalization techniques. The user also updated the data input to use log filter bank features.
nlpexperimentationseq2seqspeech-to-textrecognition
xravitejax/OpenSeq2Seq
Jun 2018 - Aug 2018
Toolkit for efficient experimentation with various sequence-to-sequence models
Contributions:244 pushes, 6 branches in 2 months
sequenceexperimentationsequence-modelssequence-to-sequence-modelsbioinformatics
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