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AI & Machine Learning Engineer @ Intel’s AI Solutions Group
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Assessing your cultural and operational fit
Computer Science and Electrical Engineering graduate from Tel Aviv University. Currently employed as Machine Learning & Big Data Software Engineer @ Intel’s Advanced Analytics group.
Tel Aviv University
Bachelor of Science (B.Sc.), Electrical Engineering and Computer Science
January 1, 2013 – January 1, 2017
Intel Corporation
Machine Learning Engineer for AI Solutions Group
April 1, 2017 – Present
Intel Corporation
Student Software Engineer for Advanced Analytics Group
August 1, 2016 – April 1, 2017
Intel Corporation
Student Software Engineer in Architecture Team
July 1, 2015 – July 1, 2016
Israeli Air Force
Head of Department
July 1, 2012 – August 1, 2013
Israeli Air Force
Department Officer
July 1, 2010 – July 1, 2012
Sleep Cycle - Smart Alarm Clock
October 1, 2016 – March 1, 2017
Sleep Cycle is a smartphone based app, that monitors your sleep, and decides when is the exact moment for you to wake up, so you'd feel least tired and most prepared for the long day ahead of you. It does so by tracking your sleep cycles, using a smart band and analyzing your sleep data over the cloud.
Spark Monitor - Performance Monitoring for Big Data applications
September 1, 2016 – June 1, 2017
Spark Monitor is a tool for collecting and analyzing performance metrics of Apache Spark applications running on Big Data environment. The tool provides information for better resource management and performance optimization.
Cultural Fit Analysis
The candidate's background shows a blend of academic rigor, corporate experience at a large tech company (Intel), and military service. The personal projects, especially 'Spark Monitor', indicate a proactive approach to learning and applying skills relevant to the target role of Big Data Engineer. The diversity of experience, from low-level architecture to machine learning, suggests adaptability. The long tenure at Intel implies a preference for stability and growth within an organization. The 'Sleep Cycle' project shows an interest in consumer-facing applications and data analysis, broadening their perspective beyond pure infrastructure.
Soft Skills & Operational Fit
The candidate's military background and progression to 'Head of Department' suggest strong leadership, discipline, and operational management skills. The long tenure at Intel, including student roles, indicates loyalty and ability to grow within an organization. The personal projects demonstrate initiative and problem-solving abilities. However, specific details on collaboration, stress handling, and work attitude are not available from the provided data.