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Director of Artificial Intelligence | Expert in Computer Vision & ML | Scaling AI Teams & Products | Strategic Technical Leader
I am a strategic AI leader with a decade of experience in building and scaling cutting-edge Computer Vision and Machine Learning solutions. At Adasky, I rose from a founding engineer to Director of AI, where I oversaw the end-to-end AI lifecycle—from data collection and annotation to model deployment on edge devices. • My expertise extends beyond the lab; I have participated in securing $50M in funding (Rounds A & B) and have led technical business development with global automotive giants across Japan, China, Europe, and the US. I am passionate about solving complex problems with elegant algorithms and leading cross-functional teams to deliver high-impact, market-ready technology.
Technion - Israel Institute of Technology
Master of Science (MSc), Computer Vision,Image Processing and Machine Learning
January 1, 2013 – January 1, 2015
Technion - Israel Institute of Technology
Bachelor of Science (BSc), Electrical and Electronics Engineering
January 1, 2006 – January 1, 2010
Adasky
Director of Artificial Intelligence
July 1, 2021 – February 1, 2026
Adasky
CV & ML Group Leader
February 1, 2018 – July 1, 2021
Adasky
Algorithm Developer - Computer Vision and Machine Learning
September 1, 2015 – February 1, 2018
Technion - Israel Institute of Technology
M.Sc in Computer Vision and Machine Learning
April 1, 2013 – September 1, 2015
Israel
Elbit Systems Ltd
Hardware Engineer
September 1, 2010 – March 1, 2013
Elbit Systems Ltd
System Engineering Intrenship
September 1, 2008 – September 1, 2010
Cultural Fit Analysis
The candidate's extensive experience in AI/ML, particularly in computer vision, aligns well with a data-intensive role. However, the target role is 'Data Analyst', which typically focuses more on data manipulation, visualization, and statistical analysis rather than deep learning model development and AI leadership. While the candidate has a strong technical background, the direct alignment with a pure 'Data Analyst' role's day-to-day tasks might be a mismatch, suggesting a potential overqualification or a need for a more specialized 'Data Scientist' or 'ML Engineer' role. The breadth of skills is strong in AI/ML but less explicit in traditional data analysis tools and techniques.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and stakeholder management skills through their Director and Group Leader roles. Their experience in managing end-to-end AI development and participating in fundraising indicates a business-oriented mindset and ability to drive technical initiatives with commercial impact. The transition from classical CV to deep learning shows adaptability and a proactive approach to adopting new technologies.