Sr. Applied Scientist at Amazon Prime Video Sports
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Experienced manager and researcher in Machine Learning/Deep Learning/Computer Vision + software engineering from distributed systems and big data to mobile and embedded devices.
The Open University of Israel
Humanities
January 1, 2006 – January 1, 2008
Tel Aviv University
M.Sc., Electrical Engineering
January 1, 2001 – January 1, 2006
Technion - Israel Institute of Technology
B.Sc., Electrical Engineering
January 1, 1994 – January 1, 1998
Amazon
Sr. Applied Scientist
June 1, 2024 – Present
Tel Aviv-Yafo, Tel Aviv District, Israel
Datagen
VP of R&D
March 1, 2021 – September 1, 2023
Amazon
Manager, Computer Vision and Machine Learning
April 1, 2017 – February 1, 2021
Amazon
Sr. Computer Vision Research Scientist
December 1, 2015 – April 1, 2017
SagivTech
Computer vision & computer graphics expert
April 1, 2011 – May 1, 2013
Bar Ilan University
Ph.D Student
March 1, 2010 – November 1, 2015
Self Employed
Machine Learning/Deep Learning/Computer Vision + software engineering consultant
March 1, 2010 – December 1, 2015
Paradigm Geophysical
Algorithms & Software Engineer
September 1, 2008 – March 1, 2010
Argusense
Owner
September 1, 2007 – September 1, 2008
Applied Materials
Algorithms & Software developer
March 1, 2006 – February 1, 2008
Ramot at Tel Aviv University Ltd.
Researcher
October 1, 2004 – March 1, 2006
Israel Defense Forces
System Engineer
September 1, 1998 – August 1, 2004
B.O.G Interactive Software
CTO
October 1, 1997 – October 1, 1998
VDOnet
Software QA Engineer
August 1, 1996 – October 1, 1997
Computer Aided Diagnosis
August 1, 2013 – July 1, 2014
The project deal with Automated abnormalities (Polyp) detection in Endoscopy videos. The project included literature review phase, and active research phase. Literature review- including review of about 70 papers and patents dealing with similar problem, along with general methods in image processing such as LBP, HOG, Haar like features, Color histogram, texture entropy etc... Research phase included full implementation of the detection pipeline. Multiple methods were implemented and combined in a single framework. The research phase included solution of multiple problems: - image prepossessing & enhancement, - ROI selection, - Features selection and combination- both manual and automatic such as Cascade pyramid, Principal Component Analysis and others, - Classifiers selection (SVM, Neural networks, Bayesian networks etc..), - Database Establishment (including ground-truth marking), - suspect object tracking and re-detection across frames (confidence improvement) - Performance analysis via ROC curves. The project presented results outperforming academical publication, while relying on a more realistic- & representative (harder and wider) database. The details and results were presented to Olympus Japan senior manager, achieving his high appreciation.
Cultural Fit Analysis
The candidate has a diverse professional background, including roles in large corporations (Amazon, Applied Materials), startups (Datagen, Argusense), academia (Bar Ilan University, Ramot), and self-employment. This breadth of experience suggests adaptability to different organizational cultures and work environments. The leadership roles indicate a proactive and influential approach, which could be a strong cultural fit for a senior analytical role requiring initiative and impact.
Soft Skills & Operational Fit
The candidate's experience as VP of R&D and Manager at Amazon suggests strong leadership, team scaling, and project management abilities. The descriptions indicate a capacity for strategic planning and execution, as well as establishing new operational units (e.g., Datagen's content studio in India). The project descriptions demonstrate problem-solving skills and a results-oriented approach.