Ragav Venkatesan
Principal Engineer at NVIDIA
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRagav 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
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Arizona State UniversityBachelors in Engineering Electronics and Communication Engineering, Bachelors in Engineering Electronics and Communication Engineering at Anna University Chennai
Stackoverflow
186reputation
27kreached
8answers
2questions
Github Skills (88)
parallel10
python10
expressions10
mxnet10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
huggingface10
ray10
optimization10
model-compression10
deploying10
jupyter10
data-science10
Programming languages (6)
Github contributions (5)
ragavvenkatesan/ragavvenkatesan.github.io
Jan 2019 - Mar 2025
Contributions:494 pushes in 6 years 2 months
ragavvenkatesan/yann
Jul 2015 - Aug 2017
Contributions:2 releases, 155 PRs, 662 pushes in 2 years 1 month
deep-learningtoolboxconvolutiontensorflowcnn
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