Shauheen Zahirazami
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Engineering Leadership - Machine Learning Acceleration
PhD in electrical engineering control systems. BSc in applied mathematics. More than 15 years of programming and technical management experience. Specialties: System analysis, Design, Modelling, Machine learning, Simulation, Statistical analysis, Data mining, Database design, Data modelling, Predictive analytics, Control Design, Supervisory control, Knowledge intensive system modelling, Quantitative analysis, Programming and algorithm implementation, Data analysis. Engineering manager on GCP Cloud Accelerators, ML.NET, ONNXMLTools, WinMLTools.
Concordia University
PhD, Electrical Engineering, Control
January 1, 2005 – January 1, 2012
Concordia University
MSc, Electrical Engineering
January 1, 2003 – January 1, 2005
University of Tehran
BSc, Applied Mathematics
January 1, 1997 – January 1, 2002
Amazon Web Services (AWS)
Senior ML Engineering Manager
June 1, 2025 – Present
Seattle, Washington, United States
PyTorch
PyTorch Foundation
December 1, 2024 – Present
Senior ML Engineering Manager
September 1, 2019 – May 1, 2025
Greater Seattle Area
Microsoft
Principal Machine Learning Engineering Manager
December 1, 2017 – August 1, 2019
Greater Seattle Area
Microsoft
Senior Machine Learning Engineer Manager
November 1, 2015 – December 1, 2017
Greater Seattle Area
Predixion Software, Inc.
Senior Lead Software Engineer, IoT
August 1, 2015 – November 1, 2015
University of Washington
Lecturer
January 1, 2014 – January 1, 2014
Greater Seattle Area
Concordia University
Part-Time Faculty Member
July 1, 2013 – July 1, 2015
Greater Montreal Metropolitan Area
reelyActive
Information Systems Analyst
February 1, 2013 – July 1, 2013
Greater Montreal Metropolitan Area
Predixion Software, Inc.
Software Development Engineer
January 1, 2013 – August 1, 2015
National Bank of Canada
Senior Analyst - Financial Markets Investment Process
April 1, 2012 – January 1, 2013
Greater Montreal Metropolitan Area
TEDxMcGill
Speakers Team
May 1, 2011 – December 1, 2011
Greater Montreal Metropolitan Area
IEEE Montreal
Treasurer
February 1, 2009 – November 1, 2010
Greater Montreal Metropolitan Area
Concordia University
Data Modeller
June 1, 2007 – June 1, 2011
Greater Montreal Metropolitan Area
Concordia University
Research Assistant
September 1, 2003 – December 1, 2012
Greater Montreal Metropolitan Area
Parseh Management Consulting and SystemWare
CTO
October 1, 2002 – August 1, 2003
Eede Business Solutions
CTO
September 1, 2001 – October 1, 2002
Neda Networks
Programmer/Webmaster
October 1, 1999 – September 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards cutting-edge technology and leadership in the ML/AI domain. Their involvement with the PyTorch Foundation and work at multiple large tech companies (AWS, Google, Microsoft) demonstrates adaptability and a drive for innovation. The diverse roles, from research assistant to CTO and senior management, suggest a broad understanding of different organizational cultures and a capacity to contribute at various levels. However, the target role of 'Data Analyst' is a significant shift from their recent senior ML Engineering Manager roles, which might indicate a potential mismatch in career aspirations or a desire to return to a more hands-on analytical role. This could be a cultural fit consideration regarding role expectations.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at major tech companies suggests strong operational fit, including project management, team leadership, and strategic planning. Involvement in PyTorch Foundation indicates collaboration and influence within the ML community. Teaching experience implies strong communication and mentorship abilities. However, specific soft skill assessments are not available from the provided data.