Sami Khenissi
Research Scientist at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSami Khenissi is a research scientist at Meta’s VideoML org with nine years of experience building scalable recommender systems that serve billions daily. He holds a Ph.D. in Computer Science from the University of Louisville and has published work on feedback loops, exposure bias, and interpretability in recommender models, including a paper accepted at RecSys 2020. Sami combines deep theoretical rigor from his academic research with hands-on production experience at Meta and an AI-recommendations internship at Bloomberg. Based in the Bay Area, he focuses on making large-scale personalization both effective and explainable, and has a track record of award-winning applied research and novel active learning strategies.
9 years of coding experience
5 years of employment as a software developer
Applied Mathematics and Computer Science, Applied Mathematics and Computer Science at Tunisia Polytechnic SchoolMaster of Science - MS, Computer Science, 4.0 GPA, Master of Science - MS, Computer Science, 4.0 GPA at University of Louisville
French, English, Arabic
Stackoverflow
21reputation
601reached
0answers
1question
Github Skills (20)
python8
machine-learning8
artificial-intelligence8
pytorch8
lightning8
lifecycle8
data-science7
scaling7
ai7
deep-learning7
infrastructure6
azure6
webservice6
json6
cost-management5
Programming languages (1)
Github contributions (5)
samikhenissi/TheoretUserModeling
Aug 2020 - Sep 2020
Contributions:10 commits, 8 pushes in 14 days
samikhenissi/ExplainableMatrixFactorization
Jul 2020 - Sep 2020
Implementation of the paper "Using Explainability for Constrained Matrix Factorization"
Contributions:13 commits, 10 pushes, 1 branch in 1 month
factorizationmatrix-factorizationconstrainedmatrixexplainability
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