Lev Zlotnik
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolLev Zlotnik is an R&D-focused machine learning engineer with seven years of software experience and five years specializing in ML/AI, blending deep academic grounding in math and physics with hands-on work in model compression, quantization, and high-performance computing. He has contributed to research and engineering at Intel and Groq, building production-aware deep learning tooling and custom ML designs, and currently pursues R&D and privacy-preserving ML work at Opiniate. Author of a from-scratch C++ deep learning library (NN-Target-Practice) and an active GitHub presence, he balances low-level systems engineering with algorithmic research. Based in San Jose, he brings a rare mix of firmware/security background from earlier Intel roles and applied ML research, with ongoing interest in differential privacy.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Math & Physics, Bachelor of Science - BS, Math & Physics at The Open University of Israel
English, Hebrew, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (54)
pytorch10
intel10
python10
onnx10
regularization10
pruning10
compression10
quantization10
jupyter-notebook10
datasets9
vscode-extension9
machine-learning9
gpu9
wsl29
aggregations9
Programming languages (4)
Github contributions (5)
levzlotnik/NN-Target-Practice
Jun 2020 - Jun 2021
Playground with BLAS and Bayesian Inference from scratch, using CPP
Contributions:4 PRs, 72 pushes, 6 branches in 1 year
cppbayesian-inferenceinferenceblasscratch
levzlotnik/PipelineDP
Jul 2021 - Sep 2021
Contributions:43 pushes, 8 branches in 1 month
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