Experience

Nano Dimension

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 200 - 300 Employee

• AI Researcher

  • May 2022 - Present



Intuition Robotics

• Israel
• Hospitals and Health Care
• 1 - 100 Employee

• Applied Researcher (Machine Learning / Deep Learning / NLU)

  • Jan 2020 - May 2022

  • Develop and implement funnel flow of mixture of experts for NLU intent classification (Bert/RF). • Unknown intents identification using outlier detection (Bert embedding & DBSCAN on cosine dist.). • Pattern recognition of user’s regular activities by Bayesian point prediction (Gamma/Gamma) • Low frequency activity recognition based on mean convergence. • User’s availability model based on Poisson/Binomial model. • Develop and implement funnel flow of mixture of experts for NLU intent classification (Bert/RF). • Unknown intents identification using outlier detection (Bert embedding & DBSCAN on cosine dist.). • Pattern recognition of user’s regular activities by Bayesian point prediction (Gamma/Gamma) • Low frequency activity recognition based on mean convergence. • User’s availability model based on Poisson/Binomial model.



Applied Materials

• United States
• Semiconductor Manufacturing
• 700 & Above Employee

• Applied Researcher (Computer Vision / Machine Learning)

  • Mar 2017 - Jul 2019

  • Develop and implement algorithms including machine learning, statistical modelling and pattern recognition for real time defect (anomaly) detection (Likelihood & embedding based). • Implement statistical and numerical methods for image quality enhancement (l0 representation). • Electron beam inspection system noise modelling for data generation. • Develop and implement algorithms including machine learning, statistical modelling and pattern recognition for real time defect (anomaly) detection (Likelihood & embedding based). • Implement statistical and numerical methods for image quality enhancement (l0 representation). • Electron beam inspection system noise modelling for data generation.



ThetaRay

• Israel
• Software Development
• 100 - 200 Employee

• Applied Researcher (Machine Learning)

  • Dec 2014 - Mar 2017

  • Research and development of mathematical and statistical unsupervised algorithms for anomaly detection to financial fraud and risk (embedding based). • Implement of semi-supervised for similarity detection. • Automatic feature creation mechanism (histograms and entropy based) • Research and development of mathematical and statistical unsupervised algorithms for anomaly detection to financial fraud and risk (embedding based). • Implement of semi-supervised for similarity detection. • Automatic feature creation mechanism (histograms and entropy based)



G-STAT

• Israel
• IT Services and IT Consulting
• 100 - 200 Employee

• Data Scientist (Machine Learning)

  • Jan 2014 - Dec 2014

  • Part of the private banking data science department (small medium entities) • Development of statistical methods for credits scoring for loan risk management (GLM) • Analysing large raw data, drawing conclusions & develop recommendations. • Part of the private banking data science department (small medium entities) • Development of statistical methods for credits scoring for loan risk management (GLM) • Analysing large raw data, drawing conclusions & develop recommendations.



Israel Securities Authority

• Capital Markets
• 100 - 200 Employee

• Data Scientist (student)

  • 2013 - 2014

  • Conducting complete econometric research for understanding the relationship between CEO salaries and public companies’ performance. • project included definition of research questions, implementing model, validation of results and writing final report including recommendation. • Conducting complete econometric research for understanding the relationship between CEO salaries and public companies’ performance. • project included definition of research questions, implementing model, validation of results and writing final report including recommendation.