Vinu Joseph
Research Scientist at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolVinu Joseph is a research scientist at NVIDIA with a decade of experience advancing confidential computing, secure ML, and performance-centric systems. His PhD from the University of Utah (4.0 GPA) underpins a track record of work on encrypted computation acceleration, privacy-preserving deep learning, model compression, and software correctness for AI workloads. Prior roles span multiple NVIDIA research internships and early-career CPU and system-software development at Arm, giving him a rare blend of hardware-aware optimization and cryptographic ML research. He focuses on making privacy-preserving AI both efficient and robust, and his work bridges FHE, LLMs, and GPU/CPU architecture to deliver practical confidential-computing solutions. Based in California, he was an NVIDIA Graduate Fellow and brings both rigorous verification experience and production-minded engineering to research problems.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Electronics and Communications Engineering, First Class with Distinction, Bachelor's degree, Electronics and Communications Engineering, First Class with Distinction at Visvesvaraya Technological UniversityKendriya Vidyalaya SangathanThe University of Utah
Github Skills (30)
reinforcement-learning9
regularization9
pytorch9
pruning9
jupyter-notebook8
deep-learning8
intel7
compression7
quantization7
python6
onnx5
machine-learning5
low-level4
neural-network4
deep-neural-networks4
Programming languages (3)
Github contributions (5)
vinutah/madonna
Dec 2016 - Dec 2016
Contributions:39 commits, 38 pushes, 1 branch in 1 day
shoaibahmed/condensa
Apr 2020 - May 2020
Programmable Neural Network Compression
Contributions:53 pushes in 1 month
pytorchneural-network-compressiondeep-learningcompressionmachine-learning
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