Dotan Kaufman
Applied Scientist at Amazon
Israel
Summary
👤
Senior🎓
Top SchoolDotan Kaufman is an Applied Scientist with a decade of experience building and researching machine learning and deep learning systems, currently applying his skills at Amazon. He has a strong academic foundation from Tel Aviv University and a track record of state-of-the-art work in video understanding, tying together computer vision, NLP and multimodal tasks from his research with Prof. Lior Wolf. Dotan combines industry and academic rigor—from AI research at Facebook and TAU to hands-on R&D experience in the Israel Defense Forces—delivering production-ready algorithms on large, diverse datasets. Known for practical implementations of deep models across vision, speech and text, he excels at turning cutting-edge research into scalable solutions. An interesting detail: his early career blend of military R&D and university research helped him bridge stringent engineering constraints with novel deep-learning methods.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at Tel Aviv University
Github Skills (11)
notebook10
ipython10
python10
jupyter10
data-science9
tensorflow9
machine-learning9
deep-learning9
neural-network8
ml8
deep-neural-networks8
Programming languages (2)
Github contributions (5)
dot27/code
May 2016 - Apr 2017
Contributions:109 pushes, 1 branch in 11 months
dot27/kaggle_code
Apr 2016 - Apr 2016
Contributions:3 pushes, 1 branch in 1 day
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