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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data + Science = Business Value
I bring with me enthusiasm, curiosity, out-of-the-box thinking and creativity to solve business problems with data. Both as leader and individual contributor, I have productized numerous machine learning system which generated business value. I have built several successful data science organizations: Biocatch, Microsoft, Gong.io, Playtika, VIANAI. My secret sauce is building center of excellence in data science as well at translating business problems into analytical solutions. # data science # machine learning # deep learning # reinforcement learning # causal Inference # bandits # experimentation analysis # business analytics #uplift modeling #bandits #contextual bandits # causal inference
The Hebrew University of Jerusalem
PhD, Computation Neuroscience
January 1, 2008 – January 1, 2014
Tel Aviv University
MSC, Electrical Engineering
January 1, 2006 – January 1, 2008
Tel Aviv University
BSC, Physics
January 1, 1997 – January 1, 2001
Tel Aviv University
BSC, Electric Engineering
January 1, 1997 – January 1, 2001
Aleh High School for Art and Science
high school, physics, chemistry and computer science
January 1, 1995 – January 1, 1997
NVIDIA
Distinguished Applied ML Researcher
November 1, 2024 – Present
NVIDIA
AI Team Leader
November 1, 2023 – November 1, 2024
NVIDIA
Distinguished Engineer, Applied Research (ML)
July 1, 2022 – December 1, 2023
Buzzer.ai
Advisor
June 1, 2022 – Present
Israel
Vianai Systems, Inc.
CTO, Decision Optimization
March 1, 2020 – June 1, 2022
Herzliya, Tel Aviv District, Israel
Playtika
AI Marketing Group Manager
January 1, 2018 – March 1, 2020
Israel
Gong.io
Senior Data Scientist
December 1, 2016 – January 1, 2018
Israel
Microsoft
Senior Data Scientist Azure Cybersecurity
May 1, 2014 – June 1, 2016
Israel
Microsoft
Data Scientist
January 1, 2013 – January 1, 2014
Israel
BioCatch
Head of Data Science
May 1, 2011 – June 1, 2013
Lod
Jerusalem College of Technology
Teacher
October 1, 2009 – May 1, 2010
Hebrew University
Teaching Assistant in Computation Cognition Course
September 1, 2009 – September 1, 2011
Jerusalem
Tel Aviv University
Research Team Leader
November 1, 2008 – January 1, 2009
Israeli Defense Forces (IDF)
Head of a Research Team
September 1, 2004 – September 1, 2007
NA
IDF
Senior Researcher
September 1, 2001 – September 1, 2004
NA
Chromatis Networks
Reseach
January 1, 2000 – January 1, 2001
National Semiconductor
Design verification
January 1, 1999 – January 1, 2000
Building a Data Science Team
John Hopkins University
June 24, 2026 – Present
Convolutional Neural Networks in TensorFlow
Coursera
June 24, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
June 24, 2026 – Present
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Coursera
June 24, 2026 – Present
Practical Reinforcement Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
PhD
United Latino Students Association
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, moving from research in signal processing to leading AI/ML teams in various companies (Microsoft, Gong.io, Playtika, Vianai Systems, NVIDIA). This demonstrates adaptability and a broad interest in applying technical skills to different business contexts. The transition from a research-heavy background to more applied and leadership roles suggests a pragmatic approach. However, the target role is 'Backend Engineer', which is a significant shift from their primary experience in AI/ML and data science leadership. While their technical depth is high, the direct alignment with a pure backend engineering role, which typically involves system architecture, API development, database management, and performance optimization, is not explicitly demonstrated in their recent roles or skill sets. This could indicate a potential mismatch for a dedicated backend engineering position without further validation of their software engineering practices.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and team-building capabilities through their experience as an AI Team Leader, CTO, and Head of Data Science. Their advisory roles suggest good communication and problem-solving skills. The extensive academic background and continuous learning (certifications) indicate a strong drive for knowledge and adaptability. However, the provided data does not include direct assessment of work attitude, stress handling, or team collaboration from psychometric tests.