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Machine Learning Engineer at Nuralogix Corporation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning scientist with 8 years of industrial and academic research experience in machine learning, deep learning, representation learning, computer vision/image processing and signal processing. Experienced at programming in Python/Pytorch/ Tensorflow, Matlab, C/C++, Julia. Practical experienced at design, implementation and deployment of machine learning models.
Dalhousie University
Master's degree, Computer Science
January 1, 2013 – January 1, 2015
Isfahan University of Technology
Bachelor of Science (B.Sc.), Computer Engineering
January 1, 2008 – January 1, 2012
NuraLogix Corporation
Machine Learning Engineer
December 1, 2015 – Present
Toronto, Canada Area
Dalhousie University
Teaching Assistant
January 1, 2014 – September 1, 2014
Dalhousie University
Research Assistant
September 1, 2013 – September 1, 2015
Isfahan University of Technology
Researcher
September 1, 2011 – December 1, 2013
Isfahan University of Technology
Teaching Assistant
September 1, 2011 – March 1, 2012
Isfahan University of Tehcnology Information Technology Center
Programmer (Part Time)
January 1, 2010 – January 1, 2011
Esfahan, Iran
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant experience in universities. While this demonstrates intellectual curiosity and deep technical skills, the transition to a corporate data analyst role might require adaptation to business-driven priorities, faster iteration cycles, and cross-functional team collaboration. The project diversity is strong within the research domain, but less so in typical business data analysis applications. The target role 'Data Analyst' is a slight pivot from 'Machine Learning Engineer' and 'Researcher', which might require a cultural adjustment to a more business-focused, rather than purely research-focused, environment.
Soft Skills & Operational Fit
The candidate's experience as a Teaching and Research Assistant suggests strong analytical, problem-solving, and potentially communication skills. The research roles indicate a capacity for independent work and complex problem decomposition. However, specific operational fit for a corporate data analyst role, including collaboration in a business context, project management, and stakeholder communication, cannot be fully assessed from the provided data.