Nandan Jha

PHD Student at New York University

New York, New York, United States
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Summary

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Senior
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Top School
Nandan 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.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at Indian Institute of Technology Hyderabad
bookDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at New York University
bookBachelor’s Degree Electronics and Communications Engineering, Bachelor’s Degree Electronics and Communications Engineering at National Institute of Technology Surat
languagesEnglish, Hindi, Maithili
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Github Skills (23)

self-attention10
python8
convolutional-neural-networks8
pytorch7
machine-learning7
gpu7
action-recognition7
deep-learning7
computer-vision7
neural-network6
video-understanding6
numpy5
temporal5
segment4
gpu-acceleration3

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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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
convolutional-neural-networksself-attentioncomputer-visionpytorchfine-grained-classification
Contributions:291 pushes, 1 branch in 25 days
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