Hanan Shteingart
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
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
A Crash Course in Causality: Inferring Causal Effects from Observational Data
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
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
PhD
United Latino Students Association
June 24, 2026 – Present
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
Practical Reinforcement Learning
Coursera
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.