
Algorithms Engineer at Au10tix
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Vision and Deep Learning Researcher at Au10tix M.Sc. EE Graduate at TAU, specialising in Deep Learning, Image Processing and Computer Vision Experienced in image featuring, object detection and classification among computer vision and image processing methods implementations for improvements and detections. Hands-on Python, OpenCV, Keras, Tensorflow, C++, Linux. Passionate about developing new solutions in all computer-vision, deep learning and image-processing domains
Tel Aviv University
Master’s Degree, Electrical Engineering
January 1, 2012 – January 1, 2016
Judea and Samaria college
B.Sc., Electronic Engineering
January 1, 2002 – January 1, 2006
AU10TIX
Research and development Deep Networks, Computer Vision and Image Processing Algorithms
June 1, 2020 – Present
Hod
Guardian Optical Technologies
Research and development of Deep Networks, Computer Vision and Image Processing Algorithms
December 1, 2019 – June 1, 2020
Tel Aviv, Israel
Tunity
Computer Vision and Deep Learning Researcher
January 1, 2016 – December 1, 2019
Tel Aviv
RADVISION
Automation Engineer
July 1, 2007 – September 1, 2013
Tel Aviv
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Deep Learning, Computer Vision, and Image Processing, which aligns with a research-oriented technical culture. However, the target role is 'Data Analyst', which is a significant pivot from their core expertise. This suggests a potential mismatch in cultural fit for a typical data analyst role that might require more business intelligence, reporting, or statistical analysis skills rather than algorithm R&D. The project diversity is limited to their core R&D work.
Soft Skills & Operational Fit
The candidate's experience in R&D roles suggests strong problem-solving and analytical skills. The automation engineer role indicates an ability to plan and implement technical solutions. However, specific soft skills like teamwork, leadership, or adaptability are not explicitly detailed in the provided data.