Principal Applied Science Manager @ Microsoft | PhD in AI
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Technology and people leader, with experience spanning ~13 years at big tech / global companies, and a proven track record in delivering value to customers via solutions that span various areas: natural language processing, GenAI, recommender systems, information retrieval, document analysis, computer vision, question answering and automated machine learning. Passionate about topics at the intersection of people management, AI and product. I strive for helping teams grow and deliver cutting-edge innovations to customers.
University of Lille 1 Sciences and Technology
PhD, Artificial Intelligence
January 1, 2008 – January 1, 2012
Université Grenoble Alpes
Master, Artificial Intelligence
January 1, 2007 – January 1, 2008
Damascus University
Bachelor of Engineering - BE, Artificial Intelligence
January 1, 2001 – January 1, 2006
Microsoft
Principal Applied Science Manager
March 1, 2026 – Present
Berlin, Germany
Zalando
Head of Applied Science
July 1, 2024 – February 1, 2026
Berlin, Germany
Amazon
Applied Science Manager
May 1, 2020 – June 1, 2024
Berlin, Germany
SAP
Data Science Manager
July 1, 2017 – May 1, 2020
Berlin Area, Germany
SAP
Senior Machine Learning Engineer
September 1, 2016 – June 1, 2017
Berlin Area, Germany
Microsoft
Applied Scientist
October 1, 2013 – September 1, 2016
Munich Area, Germany
OWI Technologies
Software Engineer
August 1, 2012 – September 1, 2013
Paris Area, France
University of Lille 1 Sciences and Technology
Research Assistant / PhD Student
January 1, 2012 – June 1, 2012
Xerox
PhD Student / Research Engineer
December 1, 2008 – November 1, 2011
Grenoble Area, France
Xerox
Intern
February 1, 2008 – June 1, 2008
Grenoble Area, France
Elixir for intelligent software
Software Engineer
February 1, 2006 – August 1, 2007
Cultural Fit Analysis
The candidate has worked across multiple large, global technology companies (Microsoft, Amazon, SAP, Zalando), indicating adaptability to diverse corporate cultures and fast-paced environments. Their progression through various management and leadership roles suggests a strong drive for growth and impact. The focus on AI/ML across different domains (e-commerce, cloud, enterprise software, search) demonstrates versatility and a broad interest in applying advanced technologies. However, the target role is 'Backend Engineer' while the candidate's experience is heavily skewed towards 'Applied Science' and 'Machine Learning Engineering/Management'. This represents a potential mismatch in core day-to-day responsibilities and focus, which could impact cultural fit for a pure backend engineering role.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Principal Applied Science Manager, Head of Applied Science, Applied Science Manager, Data Science Manager) at major tech companies suggests strong leadership, team management, and strategic planning skills. Their involvement in founding and leading ML teams indicates initiative and operational effectiveness. The descriptions imply a strong ability to drive projects from research to productization, which is crucial for senior roles.