Distinguished Scientist @ LinkedIn | ex-Meta, Amazon, MIT, UAlberta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Autonomy
January 1, 2008 – January 1, 2011
University of Alberta
Doctor of Philosophy - PhD, Artificial Intelligence
January 1, 2007 – January 1, 2008
University of Alberta
Master's degree, Artificial Intelligence
January 1, 2004 – January 1, 2007
Sharif University of Technology
Bachelor of Science (BSc), Computer Engineering
January 1, 1998 – January 1, 2003
Distinguished Scientist
March 1, 2025 – Present
Meta
Research Scientist Director
February 1, 2023 – November 1, 2024
Meta
Senior Research Scientist Manager
July 1, 2022 – February 1, 2023
Meta
Senior Research Scientist Manager
October 1, 2018 – June 1, 2022
Amazon
Manager, Machine Learning Scientist
February 1, 2017 – September 1, 2018
Greater Boston Area
Amazon
Senior Machine Learning Scientist
October 1, 2016 – February 1, 2017
Greater Boston Area
Amazon
Machine Learning Scientist
October 1, 2013 – September 1, 2016
Greater Boston Area
Massachusetts Institute of Technology
Postdoctoral Research Associate
January 1, 2012 – September 1, 2013
Massachusetts Institute of Technology
Research Assistant
February 1, 2008 – January 1, 2012
University of Alberta
Research Assistant
January 1, 2004 – January 1, 2008
Mohaseb
Software Engineer
August 1, 2003 – January 1, 2004
Cultural Fit Analysis
The candidate has worked at highly innovative and research-driven organizations (Meta, Amazon, LinkedIn, MIT). Their background in cutting-edge AI research and development aligns well with a culture that values innovation, continuous learning, and pushing technological boundaries. The diversity of roles from individual contributor to distinguished scientist and director indicates adaptability and growth potential. However, the target role of 'Data Analyst' is a significant shift from their extensive research and leadership background in AI/ML, which might indicate a potential mismatch in day-to-day responsibilities and expectations, or a desire to apply their advanced analytical skills in a different capacity. The lack of specific 'Data Analyst' projects or direct experience in traditional data analysis tools/techniques is a gap.
Soft Skills & Operational Fit
The candidate's extensive experience in leading research teams at major tech companies suggests strong leadership, problem-solving, and collaboration skills. Their work on complex AI systems implies a structured and analytical approach to challenges. However, specific details on stress handling, work attitude, or team collaboration are not available from the provided psychometric test score (0/500), making a definitive assessment of operational fit difficult.