Shahzada is a Data Science Engineer at NuraLogix Corporation with a background in software and electrical engineering from the University of Waterloo. His expertise includes Python, Golang, and C++, previously contributing to projects at Cisco and Magna International involving network transport and autonomous driving technology.
Passionate about how technology can foster global prosperity, Shahzada has a keen interest in the societal impact of artificial intelligence. He has also explored areas like electric vehicle demand prediction through his academic research, demonstrating a broad engagement with forward-looking technologies.
He developed and published a novel algorithm for predicting electric vehicle charging demand during his time at the University of Waterloo.
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