Amey Naik

Senior Deep Learning Architect at NVIDIA

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Amey Naik is a Senior Deep Learning Architect in the San Francisco Bay Area with 10 years of experience optimizing models and software stacks for high-performance inference. He has driven inference acceleration for GenAI at Qualcomm and now focuses on deep learning architecture at NVIDIA, blending low-level systems engineering with ML model expertise. His background spans Apple and Silicon Labs through early hardware-focused roles at Broadcom, giving him rare cross-domain fluency from silicon to production ML. Academically grounded with graduate work at Georgia Tech and a Stanford AI certificate, he pairs rigorous study with pragmatic optimization skills. An active problem-solver, he contributes Python solutions to the popular Cracking the Coding Interview repo, reflecting a lasting curiosity about algorithms and edge-case correctness. Colleagues rely on him to turn complex performance constraints into reproducible, production-ready solutions.
code10 years of coding experience
job11 years of employment as a software developer
bookBE Electrical Electronics and Communications Engineering, BE Electrical Electronics and Communications Engineering at PES University
bookMaster's degree Electrical Electronics and Communications Engineering, Master's degree Electrical Electronics and Communications Engineering at University of Minnesota
bookIndependent Coursework
bookMaster's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
bookArtificial Intelligence Graduate Certificate Artificial Intelligence, Artificial Intelligence Graduate Certificate Artificial Intelligence at Stanford University
languagesEnglish, Kannada, Hindi, Marathi
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Github Skills (8)

algorithm10
data-structures10
algorithms10
python10
binary-search-tree10
data-structure10
bit-manipulation9
testing8

Programming languages (5)

C++SCSSHTMLJupyter NotebookPython

Github contributions (5)

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Cracking the Coding Interview 6th Ed. Python Solutions
Role in this project:
userBack-end Developer
Contributions:1 review, 5 commits, 8 PRs in 20 days
Contributions summary:Amey contributed to solutions for the "Cracking the Coding Interview" problems, focusing on Python implementations. Their work includes adding test cases for existing problems, implementing a delete method within a binary search tree class, and providing an alternative solution for converting floating-point numbers to binary strings. The user also solved problems related to bit manipulation.
crackingpython
naik-amey/PostureDetJS

Aug 2020 - Jan 2021

Contributions:8 commits, 9 pushes in 4 months
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