Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Algorithm Engineer at Edgybees
As an experienced tech lead passionate about technology, algorithms, and machine learning, my key interests revolve around solving complex problems through innovative algorithmic approaches. I thrive on designing and architecting robust algorithmic solutions that address both product and technical challenges, throughout my career I've tackled complex technical challenges, leading to patents and publications in top-tier journals. As a tech lead, I utilize my diverse experience to provide stable infrastructures and frameworks, allowing the team to focus on algorithmic development. As a team lead, I mentored both junior and experienced researchers, supporting their personal development and growth.
University of Haifa
Master's Degree, Computer Science
January 1, 2014 – January 1, 2016
Technion - Israel Institute of Technology
BSc, Computer Engineer
January 1, 2009 – January 1, 2012
Edgybees
Computer Vision Algorithm Engineer
April 1, 2025 – Present
Herzliya, Tel Aviv District, Israel
RAVIN.AI
Algorithm team lead
November 1, 2021 – April 1, 2025
RAVIN.AI
Algorithm tech lead
September 1, 2019 – April 1, 2025
RAVIN.AI
Research Scientist
January 1, 2019 – April 1, 2025
Fornova
Machine Learning Expert
July 1, 2017 – January 1, 2019
Yokneam Illit · On-site
Presenso
Machine Learning Engineer
August 1, 2016 – June 1, 2017
Qualcomm
Software Engineer
December 1, 2012 – August 1, 2016
IBM
Software Engineer
July 1, 2010 – December 1, 2012
Haifa, Israel
Gap Period
Scuba diving instructor
October 1, 2005 – November 1, 2008
World Wide
IDF
System Integration
March 1, 2004 – October 1, 2005
IDF (Stationed at Elbit systems)
Textile defects recognition and classification
March 1, 2012 – November 1, 2012
The project goals were to recognize production defects in textile images and later classify them.
Scenery image segmentation
June 1, 2011 – February 1, 2012
The projects goal was to be able to separate different image segments in linear time based on prior knowledge of scenery image structure. Advisor– Tamar Avraham
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning, Computer Vision, and Algorithm development across various companies (Edgybees, RAVIN.AI, Fornova, Presenso, Qualcomm). While the target role is 'Data Analyst', the candidate's background is heavily skewed towards ML/DL engineering and research. This indicates a potential mismatch in the day-to-day responsibilities and expectations for a typical Data Analyst role, which often involves more business intelligence, reporting, and statistical analysis rather than deep algorithm development. However, the candidate's experience in data collection, management, and monitoring, along with SQL skills, provides some foundational alignment. The diverse project types (textile defects, scenery segmentation) and roles suggest adaptability, but the core expertise is more aligned with a Data Scientist or ML Engineer position.
Soft Skills & Operational Fit
The candidate's experience as an 'Algorithm team lead' and 'Algorithm tech lead' at RAVIN.AI, along with responsibilities like 'Inter-team dev collaboration' and 'providing a framework to assist my colleagues', suggests strong leadership, collaboration, and mentorship skills. The description of 'enabling efficient monitoring of the system, building informative indicators, and generating alarms upon anomaly detections' at Fornova indicates a proactive approach to system health and operational excellence. The 'Scuba diving instructor' role also hints at strong communication and instructional abilities, which are valuable in a team setting.