Physicist, AI Researcher, Algorithm Developer, Software Developer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A physicist and AI/Algorithms developer with a feel for statistics and the analysis of large data sets. Experienced in a variety of machine learning techniques, Deep Learning, LLMs, quantum physics; feels at home in several programming languages (top two: Python & C++). Loves playing with new technologies; always prefers Linux
Tel Aviv University
M.Sc
January 1, 2005 – Present
Tel Aviv University
Master's degree, Physics
N/A – Present
Career Break
Personal goal pursuit
August 1, 2022 – August 1, 2025
Alibaba Group
Algorithms/AI researcher
February 1, 2018 – August 1, 2021
Israel · Hybrid
Pixoneye
Deep Learning Developer
August 1, 2016 – November 1, 2017
Ramat Gan Area, Israel
INUITIVE
Algorithm Developer
January 1, 2016 – July 1, 2016
Cortica
Senior Algorithms Researcher
August 1, 2014 – September 1, 2015
Racana
Algorithms Developer
May 1, 2013 – January 1, 2014
Totem Plus
Physicist / Software Developer
January 1, 2011 – April 1, 2013
Sigvalue
Senior Developer
September 1, 2007 – March 1, 2009
Sophia Solutions
Algorithms Developer, team leader
August 1, 2006 – July 1, 2007
Hertzelia
Cultural Fit Analysis
The candidate's diverse experience across various companies (Alibaba, Pixoneye, Cortica, etc.) and roles (Researcher, Developer, Team Leader) indicates adaptability. The recent career break focused on cutting-edge areas like quantum computation and LLMs demonstrates a strong interest in continuous learning and staying current with emerging technologies, which is a positive cultural fit for innovation-driven environments. The breadth of skills from low-level hardware adaptation to high-level ML research suggests a versatile problem-solver.
Soft Skills & Operational Fit
The candidate's career break for personal goal pursuit, including studying quantum computation and fine-tuning LLMs, suggests strong self-motivation and a proactive learning attitude. Experience as a team leader and in introducing new tools (Git/GitHub) indicates leadership potential and operational influence. However, without specific psychometric or English test results, a detailed assessment of communication, stress handling, and team collaboration is not possible.