Koby Bibas
Machine Learning Engineer at Meta
Modiin-Maccabim-Reut, Center District, Israel
Summary
👤
Senior🎓
Top SchoolKoby Bibas is a Machine Learning Engineer with eight years of experience building production-grade AI systems, currently working at Meta on large-scale product recognition. His background combines deep research (PhD-level electrical engineering) with hands-on computer vision and embedded deployment experience from Corephotonics and Marvell, plus applied-science work on continual learning and model compression at Amazon Lab126. He has shipped real-time depth, salience, and image-registration pipelines on mobile devices and prototyped personalization-aware compression for constrained environments, showing a strong focus on making advanced models practical. Based in Israel, Koby blends algorithmic rigor with systems engineering to close the gap between research and reliable product deployment.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Tel Aviv UniversityEngineer’s Degree Electrical and Electronics Engineering, Engineer’s Degree Electrical and Electronics Engineering at Ben-Gurion University of the Negev
English, Hebrew
Stackoverflow
1reputation
119reached
0answers
1question
Github Skills (53)
pytorch-lightning10
linear-regression10
arxiv9
python8
statsmodels8
pytorch8
simulation8
resnet7
deep-learning7
backbone7
efficientnet7
modeling7
detector6
mnist6
visual-recognition5
Programming languages (2)
Github contributions (5)
kobybibas/CryoEM_rotation_invariant
Jun 2020 - Oct 2020
Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
Contributions:17 commits, 16 pushes in 4 months
pytorchrotationdeep-learningspatialtranslation
kobybibas/pnml_linear_regression_simulation
Mar 2019 - Jul 2021
Python simulation for the paper https://arxiv.org/abs/1905.04708.
Contributions:1 release, 40 commits, 5 PRs in 2 years 3 months
pythonarxivabslinear-regressionpnml
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