Elie Bursztein
Founder at google
Mountain View, California, United States
Summary
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RockstarElie Bursztein is a founder and AI cybersecurity engineer based in Mountain View with a decade of hands-on experience advancing AI safety at Google and DeepMind. He blends ML engineering and security expertise—contributing significant open-source work such as a reworked Keras-Tuner API with multi-GPU hyperparameter tuning support and refactors in TensorFlow Similarity including a reimplementation of triplet loss. Comfortable across backend systems and model engines, he focuses on making AI both performant and secure in production. Off the clock he cultivates interdisciplinary perspectives as the founder of the Etteilla Art Foundation, bringing a creative lens to technical problem solving.
10 years of coding experience
Github Skills (11)
hyperparameter-optimization10
metric-learning10
keras10
tensorflow210
machine-learning10
deep-learning10
tensorflow10
automl10
indexer10
python10
cosine-similarity9
Programming languages (7)
Github contributions (5)
keras-team/keras-tuner
Jan 2018 - Sep 2019
A Hyperparameter Tuning Library for Keras
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:146 commits, 6 PRs, 3 pushes in 1 year 8 months
Contributions summary:Elie reworked a version of the kerastuner library, implementing a new API for hyperparameter tuning. They focused on implementing key functionalities related to the engine, including the `HyperTuner` meta-class, instance, and execution. The user demonstrated expertise in integrating the model with the provided search algorithms, including the RandomSearch. They also implemented multi-GPU support to enhance performance.
hyperparameterdeep-learningmachine-learningautomltensorflow
tensorflow/similarity
Oct 2020 - May 2022
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:5 releases, 11 reviews, 133 commits in 1 year 7 months
Contributions summary:Elie primarily focused on code cleanup and refactoring within the `tensorflow/similarity` repository, specifically within the `indexer` and `losses` modules. These changes involved modifying files related to indexing functionality and loss calculations. They also reimplemented a triplet loss function, indicating an effort to optimize the training process.
pythonsimilarity-searchmetric-learningtensorflowbarlow-twins
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