Ragav Venkatesan
Seattle, Washington, United States
Summary
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RockstarRagav Venkatesan is a Principal Engineer at NVIDIA with 11 years of experience building deep learning and AI systems for media and conversational products. He moved up through applied research roles at AWS and Alexa before joining NVIDIA, blending production-grade engineering with a strong research background (PhD in Computer Science, MS in Electrical Engineering from Arizona State University). Ragav has repeatedly bridged research and productization—shipping deep learning features in large-scale services while retaining the rigor of an applied scientist. Based in Seattle, he’s comfortable operating at the intersection of model development, systems engineering, and real-time media pipelines. An often-overlooked strength is his track record of evolving roles from research intern to principal, showing both technical depth and a knack for scaling impact across teams.
11 years of coding experience
Stackoverflow
186reputation
27kreached
8answers
2questions
Github Skills (71)
toolbox10
python10
mxnet10
sagemaker10
amazon-sagemaker10
huggingface10
deep-learning10
mlops10
convolutional-neural-networks10
model-compression10
object-detection10
data-science10
semantic-segmentation10
reinforcement-learning10
nas10
Programming languages (6)
Github contributions (5)
ragavvenkatesan/varietypack
May 2020 - Aug 2025
Website for my band.
Contributions:4 PRs, 95 pushes, 1 branch in 5 years 3 months
ragavvenkatesan/yann
Jul 2015 - Aug 2017
This toolbox is support material for the book on CNN (http://www.convolution.network).
Contributions:2 releases, 155 PRs, 662 pushes in 2 years 1 month
deep-learningtoolboxconvolutiontensorflowcnn
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