Experience

E Ink Corporation

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 400 - 500 Employee

• Optimization Engineer

  • Jan 2021 - Present

  • A lead developer of the Gallery product line control and drive schemes. • Develop algorithms and software utilizing deep learning models to optimize control and drive schemes for new color display technology using Python and Azure. • Perform and implement non-linear optimization including greedy, multi-objective, genetic and Bayesian optimization. • Train and test deep learning models, create custom-made training databases and support model development. • Define customer… Show more • A lead developer of the Gallery product line control and drive schemes. • Develop algorithms and software utilizing deep learning models to optimize control and drive schemes for new color display technology using Python and Azure. • Perform and implement non-linear optimization including greedy, multi-objective, genetic and Bayesian optimization. • Train and test deep learning models, create custom-made training databases and support model development. • Define customer requirements, prepare demos implementing UI design, and integrate customer feedback. Show less • A lead developer of the Gallery product line control and drive schemes. • Develop algorithms and software utilizing deep learning models to optimize control and drive schemes for new color display technology using Python and Azure. • Perform and implement non-linear optimization including greedy, multi-objective, genetic and Bayesian optimization. • Train and test deep learning models, create custom-made training databases and support model development. • Define customer… Show more • A lead developer of the Gallery product line control and drive schemes. • Develop algorithms and software utilizing deep learning models to optimize control and drive schemes for new color display technology using Python and Azure. • Perform and implement non-linear optimization including greedy, multi-objective, genetic and Bayesian optimization. • Train and test deep learning models, create custom-made training databases and support model development. • Define customer requirements, prepare demos implementing UI design, and integrate customer feedback. Show less



University of Wisconsin-Madison

• Higher Education
• 700 & Above Employee

• Research Assistant

  • Sep 2019 - May 2020

  • Develop a speech activity detection software module for Speech and Signal Processing project for the NIH. • Adapting a deep learning model created in Python with TensorFlow to be used in a Java software using Dockers. • Develop a speech activity detection software module for Speech and Signal Processing project for the NIH. • Adapting a deep learning model created in Python with TensorFlow to be used in a Java software using Dockers.



Gong

• United States
• Software Development
• 700 & Above Employee

• Researcher

  • May 2019 - Aug 2019

  • Research and analysis of Kaldi’s (toolkit for speech recognition) speech activity detection and improving its performance. • Adapting Kaldi’s speech activity detection to include overlapping speech detection. • Data synthesis and modeling of overlapping speech using GMM and DNN. • Building and running code on • Research and analysis of Kaldi’s (toolkit for speech recognition) speech activity detection and improving its performance. • Adapting Kaldi’s speech activity detection to include overlapping speech detection. • Data synthesis and modeling of overlapping speech using GMM and DNN. • Building and running code on



CardioKol Ltd.

• Israel

• Researcher

  • Mar 2017 - Apr 2019

  CardioKol is a startup company developing applications for detecting a heart condition (called atrial fibrillation) from human speech. • Developing detection algorithms of Atrial Fibrillation (heart condition) from speech using Signal Processing methods, such as filtering and spectral analysis, implemented in Matlab. • Development of speech-analysis algorithms, from literature survey to performance evaluation. • Focus on specific algorithms: o pitch detection using… Show more CardioKol is a startup company developing applications for detecting a heart condition (called atrial fibrillation) from human speech. • Developing detection algorithms of Atrial Fibrillation (heart condition) from speech using Signal Processing methods, such as filtering and spectral analysis, implemented in Matlab. • Development of speech-analysis algorithms, from literature survey to performance evaluation. • Focus on specific algorithms: o pitch detection using autocorrelation and spectral methods. o voice activity detection using threshold methods. Show less CardioKol is a startup company developing applications for detecting a heart condition (called atrial fibrillation) from human speech. • Developing detection algorithms of Atrial Fibrillation (heart condition) from speech using Signal Processing methods, such as filtering and spectral analysis, implemented in Matlab. • Development of speech-analysis algorithms, from literature survey to performance evaluation. • Focus on specific algorithms: o pitch detection using… Show more CardioKol is a startup company developing applications for detecting a heart condition (called atrial fibrillation) from human speech. • Developing detection algorithms of Atrial Fibrillation (heart condition) from speech using Signal Processing methods, such as filtering and spectral analysis, implemented in Matlab. • Development of speech-analysis algorithms, from literature survey to performance evaluation. • Focus on specific algorithms: o pitch detection using autocorrelation and spectral methods. o voice activity detection using threshold methods. Show less



Israel Defense Forces

• Israel

• Commander

  • Oct 2011 - Oct 2013

  Commanded in the C4I Corps. Prepared and delivered courses on encryption. Commanded in the C4I Corps. Prepared and delivered courses on encryption.