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Executive Director of Institutional Securities Technology at Morgan Stanley
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Concordia University
M.A.Sc., Computer Science
January 1, 2005 – January 1, 2007
Islamic University of Technology
B.Sc., Computer Science and Information Technology
January 1, 1999 – January 1, 2002
Morgan Stanley
Executive Director
January 1, 2024 – Present
Montreal, Quebec, Canada
Morgan Stanley
Vice President of Institutional Securities Technology
July 1, 2021 – January 1, 2024
Montreal, Quebec, Canada
Nuance Communications
Principal Research Developer
July 1, 2019 – July 1, 2021
Nuance Communications
Lead Research Developer
April 1, 2017 – June 1, 2019
Nuance Communications
Senior Research Developer
March 1, 2014 – April 1, 2017
Nuance Communications
Research Developer
March 1, 2013 – March 1, 2014
Nakisa Inc
Research Software Developer
April 1, 2012 – March 1, 2013
Greater Montreal Metropolitan Area
Concordia University
Postgraduate Researcher
September 1, 2007 – April 1, 2012
Montreal, Canada Area
Amazon DynamoDB: Building NoSQL Database-Driven Applications
Coursera
June 24, 2026 – Present
Customising your models with TensorFlow 2
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Getting started with TensorFlow 2
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Nuance Communications (10+ years) and Morgan Stanley (3+ years), indicating loyalty and stability. The transition from research-focused roles at Nuance to leadership in institutional securities technology at Morgan Stanley, combined with recent ML certifications, suggests adaptability and a drive to stay current. However, the lack of specific project details makes it hard to assess diversity of experience within ML or alignment with a specific company culture. The target role of ML Engineer aligns with the recent certifications, but the most recent professional experience is in a broader technology leadership capacity.
Soft Skills & Operational Fit
The candidate's progression through senior and leadership roles (Lead Research Developer, Principal Research Developer, VP, Executive Director) suggests strong leadership, project management, and potentially good communication and collaboration skills. The research background implies problem-solving and analytical abilities. However, without specific project descriptions or interview data, the direct operational fit for an ML Engineer role beyond technical leadership is difficult to fully assess.