Terrance Devries
Research ScientistResearch Scientist at Luma AI
Luma AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scientist at Luma AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Guelph
PhD, Engineering Systems and Computing - Specializing in Machine Learning
January 1, 2016 – January 1, 2021
University of Guelph
Bachelor of Engineering (BEng), Mechanical Engineering - Specializing in Mechatronics
January 1, 2011 – January 1, 2016
Luma AI
Founding Research Scientist
January 1, 2022 – Present
Apple
Research Intern
June 1, 2020 – September 1, 2021
Facebook AI
Research Intern
February 1, 2019 – May 1, 2019
Greater Montreal Metropolitan Area
Facebook AI
Research Intern
September 1, 2018 – December 1, 2018
New York City Metropolitan Area
NEXT Canada
AI Scientist in Residence
February 1, 2018 – September 1, 2018
Greater Toronto Area, Canada
ATS Automation
Machine Vision Designer (Co-op)
May 1, 2015 – December 1, 2015
Cambridge, Ontario
RWDI
Exhaust Re-entrainment Technical Coordinator (Co-op)
January 1, 2014 – August 1, 2014
Guelph, Ontario
University of Guelph
Machine Learning Research Assistant (Co-op)
May 1, 2013 – August 1, 2013
Guelph, Ontario
Cultural Fit Analysis
The candidate's background is heavily focused on academic and research environments, particularly in AI/ML. This aligns well with a research-intensive culture. The experience at a founding research scientist role at Luma AI suggests an entrepreneurial spirit and adaptability. However, the absence of detailed project descriptions makes it difficult to assess broader cultural fit aspects like collaboration style or engagement with diverse teams. The candidate's experience is highly specialized, which is a good fit for a Research Scientist role, but might indicate a narrower breadth of general software engineering skills.
Soft Skills & Operational Fit
The candidate's profile indicates a strong drive for research and innovation, evidenced by their academic pursuits and roles at leading AI companies. While specific soft skill assessments are not available, the progression through research roles suggests an ability to work independently and contribute to cutting-edge projects. The lack of project descriptions limits the assessment of collaboration and communication in a team setting.