Aviv Navon
AI Research Scientist at doubleAI
Tel-Aviv, Tel-Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolAviv Navon is an AI research scientist and PhD in machine learning specializing in multitask learning and equivariant weight-space networks, currently focused on LLM post-training at doubleAI. With about a decade of industry experience across speech, NLP, and time-series forecasting, he has led research and data science teams to build internal ASR systems, keyword spotting models, and novel multitask NLP and forecasting architectures. He combines rigorous academic foundations with hands-on production expertise—having moved models from research demos to deployed services at aiOla and Gett. Based in Tel-Aviv, Aviv favors principled deep learning approaches and often blends symmetry-aware theory with practical engineering to improve model generalization. An understated strength is his track record of developing unified multitask algorithms (for both time series and NLP) that bridge research innovation and business metrics.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Applied Statistics and Data Science, Master of Science (MSc), Applied Statistics and Data Science at Tel Aviv UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Bar-Ilan University
Github Skills (54)
transformers10
pytorch10
language-model10
python10
machine-learning10
multi-task-learning10
seq2seq10
game-theory10
flax10
implicit10
deep-learning10
coreference-resolution10
tensorflow10
natural-language-processing10
bert10
Programming languages (2)
Github contributions (5)
AvivNavon/pareto-hypernetworks
Oct 2020 - Apr 2022
Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
Contributions:24 commits, 4 PRs, 7 pushes in 1 year 6 months
pytorchhypernetworksiclrdeep-learningcomputer-vision
AvivNavon/MrRCE
Dec 2018 - Oct 2020
Contributions:23 commits, 19 pushes, 1 branch in 1 year 10 months
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