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AI Manager 💡| ML PhD 🎓| Driving AI Innovation at Scale 📈| Expert in LLMs & Applied AI 🧠
AI Solutions Manager and Lead Data Scientist with a PhD in Machine Learning, passionately pioneering LLM-driven AI innovation in enterprise environments. I blend deep technical acumen with strategic leadership to transform advanced research into practical, scalable solutions. Core Achievements & Projects - Led the design and deployment of LLM-based and Machine Learning systems that elevated operational efficiency and decision-making across cross-functional teams. - Directed end-to-end AI initiatives—from stakeholder requirements and solution design to deployment, monitoring, and performance optimization—delivering measurable business value. - Published peer-reviewed scientific articles presented at international machine learning conferences, translating academic rigor into production-grade capabilities. - Built and professionally managed high-performing AI teams, including hiring, mentoring, roadmap ownership, and delivery governance to ensure consistent, scalable impact. Expertise & Value Proposition I specialize in: - Architecting scalable AI systems anchored in Large Language Models (LLMs), anomaly detection, and deep learning. - Driving innovation through research-backed rigor paired with hands-on product and people leadership. - Fostering cross-disciplinary collaboration between data science, engineering, product, and business teams to translate complex AI concepts into meaningful outcomes. My colleagues describe me as a resilient and visionary leader who thrives at the intersection of research and application. I bring clarity to complexity and champion continuous learning and innovation as pathways to organizational growth. Let’s connect if you’re building AI/LLM features, AI in procurement, MLOps foundations, or advanced anomaly detection capabilities.
Université Jean Monnet Saint-Etienne
Master’s Degree, Machine Learning and Data Mining
January 1, 2015 – January 1, 2017
Damascus University
Bachelor's degree, Information technology / Software Engineering
January 1, 2010 – January 1, 2011
Ivalua
Sr. AI Manager
January 1, 2026 – Present
Ivalua
Manager of Artificial Intelligence
July 1, 2022 – December 1, 2025
Ivalua
Senior Data Scientist
January 1, 2021 – June 1, 2022
Worldline Global
PhD candidate, Senior Data Scientist and R&D Engineer
December 1, 2017 – November 1, 2020
Greater Lyon Area
Worldline Global
Ingénieur Recherche et Data Scientist
August 1, 2017 – January 1, 2021
Greater Lyon Area
Worldline Global
R&D - Ingénieur Recherche et Data Scientist (stagiaire)
February 1, 2017 – July 1, 2017
Greater Lyon Area
Laboratoire Hubert Curien
Data Scientist internship
February 1, 2016 – August 1, 2016
Greater Saint-Etienne Metropolitan Area
GMIV
Senior Software Engineer
August 1, 2014 – September 1, 2015
Lebanon
MMIS
Senior Software Engineer
December 1, 2013 – July 1, 2014
Lebanon
Flex Solution
Software Development
November 1, 2012 – December 1, 2013
Syria
Damascus International Airport
Software Engineer
November 1, 2012 – December 1, 2013
Syria
B1 Group
Developer
November 1, 2011 – October 1, 2012
Syria
EasyBooks
Developer
January 1, 2010 – January 1, 2011
Syria
Cultural Fit Analysis
The candidate demonstrates a consistent career progression within AI/ML roles, moving from individual contributor to senior management. Their experience spans applied research, data science, and AI leadership, showing adaptability and a broad interest in the field. The long tenure at Ivalua, progressing through multiple roles, suggests loyalty and the ability to grow within an organization. The diverse project experience, from e-payment fraud detection to procurement intelligence, indicates a broad applicability of their skills. The target role of ML Engineer aligns well with their technical depth and leadership experience in ML/AI.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, partnership with product/engineering/business leaders, and team management, indicating good operational fit. The focus on identifying high-ROI AI opportunities and translating business needs into AI solutions suggests strong strategic thinking and communication skills. However, without specific psychometric test results, a definitive assessment of stress handling or team collaboration is not possible.