Varun Praveen
System Software Manager - Deep Learning Architectures at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolVarun Praveen is a systems software manager and deep learning architect at NVIDIA with five years of focused experience building and scaling DL tooling, including work on the TAO Toolkit. He progressed from system software and IVA engineering roles to senior DL engineer and now leads architecture efforts, blending low-level system expertise with applied deep learning productization. His background in FPGA-based hardware design and an MS in electrical engineering give him a rare cross-domain fluency for optimizing performance across hardware and software stacks. Based in California, he’s known for turning research-grade models into production-ready systems and for mentoring teams through complex integration and delivery challenges.
5 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Electrical engineering, Master of Science (MS) Electrical engineering at Clemson UniversityBachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Amrita School of Engineering, BangaloreSindhi High SchoolOur Own English High School, Fujeirah
Github Skills (14)
nvidia10
deploying10
runnable9
tao9
notebook9
triton8
deepstream7
keras6
tesla6
speech-recognition6
jetson6
deep-learning4
tensorrt4
tensorflow4
Programming languages (3)
Github contributions (5)
vpraveen-nv/model_card_images
Dec 2021 - Mar 2024
NGC model card images
Contributions:1 PR, 16 pushes, 1 branch in 2 years 3 months
NVIDIA-AI-IOT/tao-toolkit-triton-apps
May 2021 - Oct 2022
Sample app code for deploying TAO Toolkit trained models to Triton
Contributions:27 commits, 12 PRs, 18 pushes in 1 year 5 months
deployingtritontao
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