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Gen AI Specialist
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
West Virginia University
Master of Science (M.Sc.), Computer Science
January 1, 2016 – January 1, 2017
Damascus University
Bachelor's degree, Computer Science
January 1, 2007 – January 1, 2012
Microsoft
Principal AI Solution Engineer
January 1, 2024 – Present
San Francisco Bay Area · On-site
Amazon Web Services (AWS)
ML Applied Scientist
May 1, 2022 – January 1, 2024
San Francisco Bay Area
Midea Group (Fortune Global 500 Company)
Software Engineer - Deep learning and ML
August 1, 2018 – May 1, 2022
San Francisco Bay Area
Midea Group (Fortune Global 500 Company)
Computer Vision Intern
February 1, 2018 – August 1, 2018
San Francisco Bay Area
West Virginia University
Research Assistant @ WVU Computer Vision Lab
January 1, 2016 – January 1, 2018
Morgantown, West Virginia Area
Souq.com
API Software Engineer
August 1, 2014 – June 1, 2015
Jordan
Self-employed
Software Engineer
October 1, 2011 – August 1, 2014
www.freelancer.com/u/mhdjaz.html
Realtime Multi faces recogntion system
November 1, 2016 – Present
Demo : https://youtu.be/jR0JzyN-ttw - Trained a light DeepNet structure for real time face recognition (Caffe) - Developed a desktop application for face detection and recognition (Python/ OpenCV) - Designed a sign-up with different face poses module.
Video Person Recognition
May 1, 2016 – Present
- Video frames selection using face quality assessments - Using deep learning techniques to achieve better face verification accuracy - Ranked the 2nd in the first experiment and the 1st in the second experiment at BTAS 2016 Video Person Recognition Competition.
Apparent Age Estimation
March 1, 2016 – Present
- Estimate apparent age from face image in the wild. - Developed deep learning algorithms for age estimation (Caffe/ python/ matlab) - Conducted experiments and tested different machine learning methods for the competition - Ranked the 4th winner in 2016 ICCV LAP challenge.
Arabic Content Targeted Advertising
October 1, 2012 – Present
Is a system that improves the process of advertising whereby advertisements are placed so as to reach consumers based on various traits such as demographics, psychographics, behavioral variables such as product purchase history The objective of this system is to reach people interested in the announcement so as to increase the effectiveness of advertising and revenues.
Cultural Fit Analysis
The candidate has a diverse background, working in large corporations (Microsoft, AWS, Midea), e-commerce (Souq.com), and as a freelancer. Their involvement in competitive challenges (BTAS, ICCV LAP) and research publications indicates a drive for innovation and continuous learning. The transition from API Software Engineer to ML Engineer shows adaptability and a clear career progression towards specialized AI roles. The breadth of experience suggests a candidate who can adapt to different team structures and project demands, though the project descriptions lack explicit details on team collaboration styles or contributions to team culture.
Soft Skills & Operational Fit
The candidate's freelance experience highlights strong project management, client communication, and problem-solving skills. Their roles at Microsoft and AWS suggest an ability to collaborate with cross-functional teams and translate customer insights into technical requirements. The description of the Principal AI Solution Engineer role indicates a focus on architecting scalable, secure, and performant AI solutions, which aligns with operational excellence.