Nandan Jha
PHD Student at New York University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNandan Jha is a PhD candidate in Electrical and Computer Engineering at NYU with eight years of industry and research experience spanning SSD hardware design, efficient DNN accelerator co-design, and privacy-preserving deep learning. Advised by Prof. Brandon Reagen, his current work focuses on LLM privacy and security, building on prior research in energy-aware model-architecture co-optimization and data-reuse metrics that improve predictions of DNN energy efficiency. He brings hands-on hardware expertise from Seagate and a strong academic track record from IIT Hyderabad, blending low-level signal and DRAM characterization with high-level algorithmic solutions. Nandan is comfortable traversing the hardware–software boundary, identifying practical optimizations that preserve model accuracy while reducing energy and improving PE utilization.
8 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at Indian Institute of Technology HyderabadDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at New York UniversityBachelor’s Degree Electronics and Communications Engineering, Bachelor’s Degree Electronics and Communications Engineering at National Institute of Technology Surat
English, Hindi, Maithili
Github Skills (28)
python8
deep-learning8
gpu8
machine-learning8
convolutional-neural-networks8
neural-network6
tensorflow6
action-recognition6
video-understanding6
temporal6
segment5
numpy5
pytorch5
gpu-acceleration3
acceleration3
Programming languages (3)
Github contributions (5)
Nandan91/nandan-academic-webpage
Jul 2021 - Aug 2021
Contributions:291 pushes, 1 branch in 25 days
Nandan91/ULSAM
Jan 2020 - Jul 2020
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Contributions:2 reviews, 6 commits, 7 PRs in 6 months
pytorchcompactdeep-learningconvolutionalneural-networks
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