PAVE Strengthens Artificial Intelligence Team by Sourcing Top Talent from The Vector Institute

PAVE, the world’s most advanced automated vehicle inspection platform, announces the onboarding of four additional machine learning associates through Canada’s premier artificial intelligence (AI) research institute, The Vector Institute.

PAVE, the world’s most advanced automated vehicle inspection platform, announces the onboarding of four additional machine learning associates through Canada’s premier artificial intelligence (AI) research institute, The Vector Institute.

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PAVE, by way of participation in Vector’s FastLane, a program that empowers selected Canadian companies to accelerate their AI capabilities, used this program to make significant advancements in the fields of machine learning and AI for visual inspections.

The four machine learning associates working with PAVE all hold master’s degrees with concentrations ranging from AI to machine learning, and computer vision. Abhishek Chandar and Roisul Islam Rumi both bring real-world experience from the automotive space where Chandar developed machine learning algorithms to automatically detect vehicle information and Roisul led a project to use AI to detect vehicle collision damage. Shamisa Kaspour and Vinitha Rajagopal Muthu each received the Vector Scholarship in AI during their master’s programs, with both having work experience in developing machine learning algorithms for mobile applications.

“Our team could not be more excited to have this talented group of individuals from such a distinguished organization like The Vector Institute join our growing engineering division,” said Steve Southin, co-CEO and founder of PAVE. “We are grateful for programs like FastLane, in particular, for connecting us with our new machine learning associates, and cannot wait to see the positive impact they have here at PAVE.”

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Augmented by The Vector Institute’s machine learning associates, PAVE’s growing machine learning team plays a central role in advancing PAVE’s state-of-the-art automated vehicle inspection platform. PAVE’s novel approach, combined with best-in-class engineering talent, results in the most advanced digital inspection platform on the market today.

“Artificial Intelligence and machine learning play key roles in the evolution of our automated inspection offerings, and executing a partnership with the Vector Institute is a natural next step in advancing PAVE’s best-in-class automated vehicle inspection solutions,” said Jameel Ghata, chief strategy officer of PAVE.

“PAVE’s experience with Vector’s FastLane is a great example of how the program can help small and medium-sized businesses accelerate their AI journey. In helping companies expand their AI capabilities through talent matching and applied programming, Vector is not just helping to boost their bottom line but also contributing to Canada and Ontario’s economic competitiveness and growth,” said Craig Stewart, executive director, Applied AI Programs, Vector Institute.

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