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Data Scientist, Machine Learning Engineer, MBA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technology leader with 14 years of hands-on experience in software development, including 7 years as a full-stack machine learning engineer. I build and lead teams of engineers and data scientists to consistently deliver scalable production systems. Experienced in software architecture, systems for big data, machine learning (ML), deep learning, natural language processing (NLP), Large Language Models (LLM), and information security. Inspired to mentor individuals and help teams grow.
Isenberg School of Management, UMass Amherst
Master of Business Administration (MBA), Entrepreneurship
January 1, 2015 – January 1, 2017
Alexandria University
Master of Science (MS), Information Technology
January 1, 2010 – January 1, 2011
Alexandria University
BSc, Computer and Systems Engineering
January 1, 2004 – January 1, 2009
Writer
Senior Staff AI Engineer
July 1, 2023 – Present
Remote
athenahealth
Principal Machine Learning Engineer
November 1, 2021 – February 1, 2023
athenahealth
Lead Machine Learning Engineer
May 1, 2018 – November 1, 2021
Virtusa
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February 1, 2017 – May 1, 2018
Windsor, Connecticut, United States · On-site
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June 1, 2016 – August 1, 2016
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March 1, 2013 – January 1, 2016
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United Technologies
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March 1, 2012 – February 1, 2013
Hartford, Connecticut Area · On-site
Innuva
Software Engineer
June 1, 2011 – February 1, 2012
Egypt · On-site
Egyptian Armed Forces
Software Engineer (Conscript)
April 1, 2010 – June 1, 2011
Egypt · On-site
Alexandria Trading Group
Software Engineer
July 1, 2009 – April 1, 2010
Egypt · On-site
Sitecore Certified Developer
Sitecore
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning various companies and roles, from full-stack development to specialized ML/AI engineering. Their experience at Google (internship) and leadership roles at athenahealth and Writer suggest an ability to thrive in dynamic, high-impact environments. The focus on mentoring and improving team processes indicates a collaborative and growth-oriented mindset, which aligns well with a positive cultural fit. The transition from general software engineering to deep ML/AI specialization shows adaptability and a strong drive for continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, mentorship, and initiative-taking skills, evidenced by leading training series, design reviews, and acting as a security champion. These indicate a proactive approach to team development and operational excellence. The MBA also suggests business acumen and strategic thinking.